OK Cupid Profile

Dataset statistics

Number of variables	31
Number of observations	59946
Missing cells	273202
Missing cells (%)	14.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	14.2 MiB
Average record size in memory	248.0 B

Variable types

Numeric	3
Categorical	14
Text	14

Alerts

`height` is highly overall correlated with `sex`	High correlation
`sex` is highly overall correlated with `height`	High correlation
`drugs` is highly imbalanced (54.2%)	Imbalance
`orientation` is highly imbalanced (55.2%)	Imbalance
`smokes` is highly imbalanced (53.5%)	Imbalance
`status` is highly imbalanced (80.1%)	Imbalance
`body_type` has 5296 (8.8%) missing values	Missing
`diet` has 24395 (40.7%) missing values	Missing
`drinks` has 2985 (5.0%) missing values	Missing
`drugs` has 14080 (23.5%) missing values	Missing
`education` has 6628 (11.1%) missing values	Missing
`essay0` has 5488 (9.2%) missing values	Missing
`essay1` has 7572 (12.6%) missing values	Missing
`essay2` has 9638 (16.1%) missing values	Missing
`essay3` has 11476 (19.1%) missing values	Missing
`essay4` has 10537 (17.6%) missing values	Missing
`essay5` has 10850 (18.1%) missing values	Missing
`essay6` has 13771 (23.0%) missing values	Missing
`essay7` has 12451 (20.8%) missing values	Missing
`essay8` has 19225 (32.1%) missing values	Missing
`essay9` has 12603 (21.0%) missing values	Missing
`ethnicity` has 5680 (9.5%) missing values	Missing
`job` has 8198 (13.7%) missing values	Missing
`offspring` has 35561 (59.3%) missing values	Missing
`pets` has 19921 (33.2%) missing values	Missing
`religion` has 20226 (33.7%) missing values	Missing
`sign` has 11056 (18.4%) missing values	Missing
`smokes` has 5512 (9.2%) missing values	Missing

Reproduction

Analysis started	2023-09-25 00:32:56.471941
Analysis finished	2023-09-25 00:33:50.017102
Duration	53.55 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

age
Real number (ℝ)

Distinct	54
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32.34029

Minimum	18
Maximum	110
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	468.5 KiB

Quantile statistics

Minimum	18
5-th percentile	21
Q1	26
median	30
Q3	37
95-th percentile	52
Maximum	110
Range	92
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	9.4527791
Coefficient of variation (CV)	0.29229111
Kurtosis	1.5725178
Mean	32.34029
Median Absolute Deviation (MAD)	5
Skewness	1.2657731
Sum	1938671
Variance	89.355033
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26	3724	6.2%
27	3685	6.1%
28	3583	6.0%
25	3531	5.9%
29	3295	5.5%
24	3242	5.4%
30	3149	5.3%
31	2735	4.6%
23	2592	4.3%
32	2587	4.3%
Other values (44)	27823	46.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
18	309	0.5%
19	611	1.0%
20	953	1.6%
21	1282	2.1%
22	1934	3.2%
23	2592	4.3%
24	3242	5.4%
25	3531	5.9%
26	3724	6.2%
27	3685	6.1%

Value	Count	Frequency (%)
110	1	< 0.1%
109	1	< 0.1%
69	31	0.1%
68	59	0.1%
67	66	0.1%
66	105	0.2%
65	109	0.2%
64	113	0.2%
63	138	0.2%
62	167	0.3%

body_type
Categorical

MISSING

Distinct	12
Distinct (%)	< 0.1%
Missing	5296
Missing (%)	8.8%
Memory size	468.5 KiB

average	14652
fit	12711
athletic	11819
thin	4711
curvy	3924
Other values (7)	6833

Length

Max length	14
Median length	12
Mean length	6.322269
Min length	3

Characters and Unicode

Total characters	345512
Distinct characters	23
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	a little extra
2nd row	average
3rd row	thin
4th row	thin
5th row	athletic

Common Values

Value	Count	Frequency (%)
average	14652	24.4%
fit	12711	21.2%
athletic	11819	19.7%
thin	4711	7.9%
curvy	3924	6.5%
a little extra	2629	4.4%
skinny	1777	3.0%
full figured	1009	1.7%
overweight	444	0.7%
jacked	421	0.7%
Other values (2)	553	0.9%
(Missing)	5296	8.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
average	14652	23.8%
fit	12711	20.6%
athletic	11819	19.2%
thin	4711	7.6%
curvy	3924	6.4%
a	2629	4.3%
little	2629	4.3%
extra	2629	4.3%
skinny	1777	2.9%
figured	1009	1.6%
Other values (8)	3178	5.2%

Most occurring characters

Value	Count	Frequency (%)
t	49787	14.4%
e	49252	14.3%
a	47198	13.7%
i	35100	10.2%
r	23054	6.7%
l	19095	5.5%
v	19020	5.5%
h	17172	5.0%
c	16164	4.7%
g	16105	4.7%
Other values (13)	53565	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	338494	98.0%
Space Separator	7018	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	49787	14.7%
e	49252	14.6%
a	47198	13.9%
i	35100	10.4%
r	23054	6.8%
l	19095	5.6%
v	19020	5.6%
h	17172	5.1%
c	16164	4.8%
g	16105	4.8%
Other values (12)	46547	13.8%

Space Separator

Value	Count	Frequency (%)
	7018	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	338494	98.0%
Common	7018	2.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	49787	14.7%
e	49252	14.6%
a	47198	13.9%
i	35100	10.4%
r	23054	6.8%
l	19095	5.6%
v	19020	5.6%
h	17172	5.1%
c	16164	4.8%
g	16105	4.8%
Other values (12)	46547	13.8%

Common

Value	Count	Frequency (%)
	7018	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	345512	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	49787	14.4%
e	49252	14.3%
a	47198	13.7%
i	35100	10.2%
r	23054	6.7%
l	19095	5.5%
v	19020	5.5%
h	17172	5.0%
c	16164	4.7%
g	16105	4.7%
Other values (13)	53565	15.5%

diet
Categorical

MISSING

Distinct	18
Distinct (%)	0.1%
Missing	24395
Missing (%)	40.7%
Memory size	468.5 KiB

mostly anything	16585
anything	6183
strictly anything	5113
mostly vegetarian	3444
mostly other	1007
Other values (13)	3219

Length

Max length	19
Median length	17
Mean length	13.989339
Min length	5

Characters and Unicode

Total characters	497335
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	strictly anything
2nd row	mostly other
3rd row	anything
4th row	vegetarian
5th row	mostly anything

Common Values

Value	Count	Frequency (%)
mostly anything	16585	27.7%
anything	6183	10.3%
strictly anything	5113	8.5%
mostly vegetarian	3444	5.7%
mostly other	1007	1.7%
strictly vegetarian	875	1.5%
vegetarian	667	1.1%
strictly other	452	0.8%
mostly vegan	338	0.6%
other	331	0.6%
Other values (8)	556	0.9%
(Missing)	24395	40.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
anything	27881	43.7%
mostly	21508	33.7%
strictly	6704	10.5%
vegetarian	4986	7.8%
other	1790	2.8%
vegan	702	1.1%
kosher	115	0.2%
halal	77	0.1%

Most occurring characters

Value	Count	Frequency (%)
t	69573	14.0%
n	61450	12.4%
y	56093	11.3%
i	39571	8.0%
a	38709	7.8%
g	33569	6.7%
h	29863	6.0%
l	28366	5.7%
s	28327	5.7%
	28212	5.7%
Other values (7)	83602	16.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	469123	94.3%
Space Separator	28212	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	69573	14.8%
n	61450	13.1%
y	56093	12.0%
i	39571	8.4%
a	38709	8.3%
g	33569	7.2%
h	29863	6.4%
l	28366	6.0%
s	28327	6.0%
o	23413	5.0%
Other values (6)	60189	12.8%

Space Separator

Value	Count	Frequency (%)
	28212	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	469123	94.3%
Common	28212	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	69573	14.8%
n	61450	13.1%
y	56093	12.0%
i	39571	8.4%
a	38709	8.3%
g	33569	7.2%
h	29863	6.4%
l	28366	6.0%
s	28327	6.0%
o	23413	5.0%
Other values (6)	60189	12.8%

Common

Value	Count	Frequency (%)
	28212	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	497335	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	69573	14.0%
n	61450	12.4%
y	56093	11.3%
i	39571	8.0%
a	38709	7.8%
g	33569	6.7%
h	29863	6.0%
l	28366	5.7%
s	28327	5.7%
	28212	5.7%
Other values (7)	83602	16.8%

drinks
Categorical

MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	2985
Missing (%)	5.0%
Memory size	468.5 KiB

socially	41780
rarely	5957
often	5164
not at all	3267
very often	471

Length

Max length	11
Median length	8
Mean length	7.6670705
Min length	5

Characters and Unicode

Total characters	436724
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	socially
2nd row	often
3rd row	socially
4th row	socially
5th row	socially

Common Values

Value	Count	Frequency (%)
socially	41780	69.7%
rarely	5957	9.9%
often	5164	8.6%
not at all	3267	5.4%
very often	471	0.8%
desperately	322	0.5%
(Missing)	2985	5.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
socially	41780	65.3%
rarely	5957	9.3%
often	5635	8.8%
not	3267	5.1%
at	3267	5.1%
all	3267	5.1%
very	471	0.7%
desperately	322	0.5%

Most occurring characters

Value	Count	Frequency (%)
l	96373	22.1%
a	54593	12.5%
o	50682	11.6%
y	48530	11.1%
s	42102	9.6%
c	41780	9.6%
i	41780	9.6%
e	13029	3.0%
r	12707	2.9%
t	12491	2.9%
Other values (6)	22657	5.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	429719	98.4%
Space Separator	7005	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	96373	22.4%
a	54593	12.7%
o	50682	11.8%
y	48530	11.3%
s	42102	9.8%
c	41780	9.7%
i	41780	9.7%
e	13029	3.0%
r	12707	3.0%
t	12491	2.9%
Other values (5)	15652	3.6%

Space Separator

Value	Count	Frequency (%)
	7005	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	429719	98.4%
Common	7005	1.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	96373	22.4%
a	54593	12.7%
o	50682	11.8%
y	48530	11.3%
s	42102	9.8%
c	41780	9.7%
i	41780	9.7%
e	13029	3.0%
r	12707	3.0%
t	12491	2.9%
Other values (5)	15652	3.6%

Common

Value	Count	Frequency (%)
	7005	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	436724	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	96373	22.1%
a	54593	12.5%
o	50682	11.6%
y	48530	11.1%
s	42102	9.6%
c	41780	9.6%
i	41780	9.6%
e	13029	3.0%
r	12707	2.9%
t	12491	2.9%
Other values (6)	22657	5.2%

drugs
Categorical

IMBALANCE MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	14080
Missing (%)	23.5%
Memory size	468.5 KiB

never	37724
sometimes	7732
often	410

Length

Max length	9
Median length	5
Mean length	5.6743121
Min length	5

Characters and Unicode

Total characters	260258
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	never
2nd row	sometimes
3rd row	never
4th row	never
5th row	never

Common Values

Value	Count	Frequency (%)
never	37724	62.9%
sometimes	7732	12.9%
often	410	0.7%
(Missing)	14080	23.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
never	37724	82.2%
sometimes	7732	16.9%
often	410	0.9%

Most occurring characters

Value	Count	Frequency (%)
e	91322	35.1%
n	38134	14.7%
v	37724	14.5%
r	37724	14.5%
s	15464	5.9%
m	15464	5.9%
o	8142	3.1%
t	8142	3.1%
i	7732	3.0%
f	410	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	260258	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	91322	35.1%
n	38134	14.7%
v	37724	14.5%
r	37724	14.5%
s	15464	5.9%
m	15464	5.9%
o	8142	3.1%
t	8142	3.1%
i	7732	3.0%
f	410	0.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	260258	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	91322	35.1%
n	38134	14.7%
v	37724	14.5%
r	37724	14.5%
s	15464	5.9%
m	15464	5.9%
o	8142	3.1%
t	8142	3.1%
i	7732	3.0%
f	410	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	260258	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	91322	35.1%
n	38134	14.7%
v	37724	14.5%
r	37724	14.5%
s	15464	5.9%
m	15464	5.9%
o	8142	3.1%
t	8142	3.1%
i	7732	3.0%
f	410	0.2%

education
Categorical

MISSING

Distinct	32
Distinct (%)	0.1%
Missing	6628
Missing (%)	11.1%
Memory size	468.5 KiB

graduated from college/university	23959
graduated from masters program	8961
working on college/university	5712
working on masters program	1683
graduated from two-year college	1531
Other values (27)	11472

Length

Max length	33
Median length	31
Mean length	30.037286
Min length	10

Characters and Unicode

Total characters	1601528
Distinct characters	25
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	working on college/university
2nd row	working on space camp
3rd row	graduated from masters program
4th row	working on college/university
5th row	graduated from college/university

Common Values

Value	Count	Frequency (%)
graduated from college/university	23959	40.0%
graduated from masters program	8961	14.9%
working on college/university	5712	9.5%
working on masters program	1683	2.8%
graduated from two-year college	1531	2.6%
graduated from high school	1428	2.4%
graduated from ph.d program	1272	2.1%
graduated from law school	1122	1.9%
working on two-year college	1074	1.8%
dropped out of college/university	995	1.7%
Other values (22)	5581	9.3%
(Missing)	6628	11.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
graduated	39376	21.7%
from	39376	21.7%
college/university	31467	17.4%
program	13328	7.4%
masters	10920	6.0%
working	10465	5.8%
on	10465	5.8%
school	3822	2.1%
two-year	3018	1.7%
college	3018	1.7%
Other values (9)	15920	8.8%

Most occurring characters

Value	Count	Frequency (%)
r	163386	10.2%
e	158223	9.9%
	127857	8.0%
o	125105	7.8%
a	110812	6.9%
g	99367	6.2%
t	86889	5.4%
d	86057	5.4%
i	75112	4.7%
l	74220	4.6%
Other values (15)	494500	30.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1436778	89.7%
Space Separator	127857	8.0%
Other Punctuation	33875	2.1%
Dash Punctuation	3018	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	163386	11.4%
e	158223	11.0%
o	125105	8.7%
a	110812	7.7%
g	99367	6.9%
t	86889	6.0%
d	86057	6.0%
i	75112	5.2%
l	74220	5.2%
u	72951	5.1%
Other values (11)	384656	26.8%

Other Punctuation

Value	Count	Frequency (%)
/	31467	92.9%
.	2408	7.1%

Space Separator

Value	Count	Frequency (%)
	127857	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3018	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1436778	89.7%
Common	164750	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	163386	11.4%
e	158223	11.0%
o	125105	8.7%
a	110812	7.7%
g	99367	6.9%
t	86889	6.0%
d	86057	6.0%
i	75112	5.2%
l	74220	5.2%
u	72951	5.1%
Other values (11)	384656	26.8%

Common

Value	Count	Frequency (%)
	127857	77.6%
/	31467	19.1%
-	3018	1.8%
.	2408	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1601528	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	163386	10.2%
e	158223	9.9%
	127857	8.0%
o	125105	7.8%
a	110812	6.9%
g	99367	6.2%
t	86889	5.4%
d	86057	5.4%
i	75112	4.7%
l	74220	4.6%
Other values (15)	494500	30.9%

essay0
Text

MISSING

Distinct	54350
Distinct (%)	99.8%
Missing	5488
Missing (%)	9.2%
Memory size	468.5 KiB

Length

Max length	48854
Median length	3354
Mean length	678.97723
Min length	1

Characters and Unicode

Total characters	36975742
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54291 ?
Unique (%)	99.7%

Sample

1st row	about me:<br /> <br /> i would love to think that i was some some kind of intellectual: either the dumbest smart guy, or the smartest dumb guy. can't say i can tell the difference. i love to talk about ideas and concepts. i forge odd metaphors instead of reciting cliches. like the simularities between a friend of mine's house and an underwater salt mine. my favorite word is salt by the way (weird choice i know). to me most things in life are better as metaphors. i seek to make myself a little better everyday, in some productively lazy way. got tired of tying my shoes. considered hiring a five year old, but would probably have to tie both of our shoes... decided to only wear leather shoes dress shoes.<br /> <br /> about you:<br /> <br /> you love to have really serious, really deep conversations about really silly stuff. you have to be willing to snap me out of a light hearted rant with a kiss. you don't have to be funny, but you have to be able to make me laugh. you should be able to bend spoons with your mind, and telepathically make me smile while i am still at work. you should love life, and be cool with just letting the wind blow. extra points for reading all this and guessing my favorite video game (no hints given yet). and lastly you have a good attention span.
2nd row	i am a chef: this is what that means.<br /> 1. i am a workaholic.<br /> 2. i love to cook regardless of whether i am at work.<br /> 3. i love to drink and eat foods that are probably really bad for me.<br /> 4. i love being around people that resemble line 1-3.<br /> i love the outdoors and i am an avid skier. if its snowing i will be in tahoe at the very least. i am a very confident and friendly. i'm not interested in acting or being a typical guy. i have no time or patience for rediculous acts of territorial pissing. overall i am a very likable easygoing individual. i am very adventurous and always looking forward to doing new things and hopefully sharing it with the right person.
3rd row	i'm not ashamed of much, but writing public text on an online dating site makes me pleasantly uncomfortable. i'll try to be as earnest as possible in the noble endeavor of standing naked before the world.<br /> <br /> i've lived in san francisco for 15 years, and both love it and find myself frustrated with its deficits. lots of great friends and acquaintances (which increases my apprehension to put anything on this site), but i'm feeling like meeting some new people that aren't just friends of friends. it's okay if you are a friend of a friend too. chances are, if you make it through the complex filtering process of multiple choice questions, lifestyle statistics, photo scanning, and these indulgent blurbs of text without moving quickly on to another search result, you are probably already a cultural peer and at most 2 people removed. at first, i thought i should say as little as possible here to avoid you, but that seems silly.<br /> <br /> as far as culture goes, i'm definitely more on the weird side of the spectrum, but i don't exactly wear it on my sleeve. once you get me talking, it will probably become increasingly apparent that while i'd like to think of myself as just like everybody else (and by some definition i certainly am), most people don't see me that way. that's fine with me. most of the people i find myself gravitating towards are pretty weird themselves. you probably are too.
4th row	i work in a library and go to school. . .
5th row	hey how's it going? currently vague on the profile i know, more to come soon. looking to meet new folks outside of my circle of friends. i'm pretty responsive on the reply tip, feel free to drop a line. cheers.

Value	Count	Frequency (%)
i	318105	4.8%
and	252378	3.8%
	235053	3.5%
a	214911	3.2%
to	207807	3.1%
the	164822	2.5%
in	110541	1.7%
of	101626	1.5%
my	90593	1.4%
br	84532	1.3%
Other values (149212)	4892030	73.3%

Most occurring characters

Value	Count	Frequency (%)
	5948703	16.1%
e	3060540	8.3%
i	2390068	6.5%
a	2353278	6.4%
t	2322587	6.3%
o	2194384	5.9%
n	2088473	5.6%
r	1669582	4.5%
s	1631105	4.4%
l	1295626	3.5%
Other values (60)	12021396	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	27961548	75.6%
Space Separator	5948703	16.1%
Other Punctuation	1585459	4.3%
Control	671374	1.8%
Math Symbol	584028	1.6%
Dash Punctuation	74715	0.2%
Decimal Number	67174	0.2%
Close Punctuation	41416	0.1%
Open Punctuation	34198	0.1%
Connector Punctuation	5700	< 0.1%
Other values (2)	1427	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	3060540	10.9%
i	2390068	8.5%
a	2353278	8.4%
t	2322587	8.3%
o	2194384	7.8%
n	2088473	7.5%
r	1669582	6.0%
s	1631105	5.8%
l	1295626	4.6%
h	1080062	3.9%
Other values (16)	7875843	28.2%

Other Punctuation

Value	Count	Frequency (%)
.	489091	30.8%
,	414271	26.1%
/	271449	17.1%
'	182121	11.5%
"	109459	6.9%
?	33204	2.1%
!	29118	1.8%
:	21016	1.3%
;	16418	1.0%
*	8273	0.5%
Other values (5)	11039	0.7%

Decimal Number

Value	Count	Frequency (%)
0	13869	20.6%
2	11871	17.7%
1	11626	17.3%
3	6013	9.0%
5	5805	8.6%
4	4611	6.9%
9	3972	5.9%
6	3447	5.1%
8	3127	4.7%
7	2833	4.2%

Math Symbol

Value	Count	Frequency (%)
<	253963	43.5%
>	253963	43.5%
=	64403	11.0%
+	10758	1.8%
~	875	0.1%
\|	66	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	40569	98.0%
]	765	1.8%
}	82	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	33489	97.9%
[	643	1.9%
{	66	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	307	78.9%
`	82	21.1%

Space Separator

Value	Count	Frequency (%)
	5948703	100.0%

Control

Value	Count	Frequency (%)
	671374	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	74715	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	5700	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	1038	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	27961548	75.6%
Common	9014194	24.4%

Most frequent character per script

Common

Value	Count	Frequency (%)
	5948703	66.0%
	671374	7.4%
.	489091	5.4%
,	414271	4.6%
/	271449	3.0%
<	253963	2.8%
>	253963	2.8%
'	182121	2.0%
"	109459	1.2%
-	74715	0.8%
Other values (34)	345085	3.8%

Latin

Value	Count	Frequency (%)
e	3060540	10.9%
i	2390068	8.5%
a	2353278	8.4%
t	2322587	8.3%
o	2194384	7.8%
n	2088473	7.5%
r	1669582	6.0%
s	1631105	5.8%
l	1295626	4.6%
h	1080062	3.9%
Other values (16)	7875843	28.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36975742	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	5948703	16.1%
e	3060540	8.3%
i	2390068	6.5%
a	2353278	6.4%
t	2322587	6.3%
o	2194384	5.9%
n	2088473	5.6%
r	1669582	4.5%
s	1631105	4.4%
l	1295626	3.5%
Other values (60)	12021396	32.5%

essay1
Text

MISSING

Distinct	51516
Distinct (%)	98.4%
Missing	7572
Missing (%)	12.6%
Memory size	468.5 KiB

Length

Max length	7955
Median length	1992
Mean length	269.34504
Min length	1

Characters and Unicode

Total characters	14106677
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51236 ?
Unique (%)	97.8%

Sample

1st row	currently working as an international agent for a freight forwarding company. import, export, domestic you know the works.<br /> online classes and trying to better myself in my free time. perhaps a hours worth of a good book or a video game on a lazy sunday.
2nd row	dedicating everyday to being an unbelievable badass.
3rd row	i make nerdy software for musicians, artists, and experimenters to indulge in their own weirdness, but i like to spend time away from the computer when working on my artwork (which is typically more concerned with group dynamics and communication, than with visual form, objects, or technology). i also record and deejay dance, noise, pop, and experimental music (most of which electronic or at least studio based). besides these relatively ego driven activities, i've been enjoying things like meditation and tai chi to try and gently flirt with ego death.
4th row	reading things written by old dead people
5th row	work work work work + play

Value	Count	Frequency (%)
i	105770	4.2%
and	89963	3.6%
a	86325	3.4%
to	83797	3.3%
the	70995	2.8%
	62666	2.5%
in	51974	2.1%
my	49843	2.0%
of	38534	1.5%
i'm	28825	1.1%
Other values (72596)	1841144	73.4%

Most occurring characters

Value	Count	Frequency (%)
	2235233	15.8%
e	1120460	7.9%
i	967940	6.9%
t	916205	6.5%
a	902325	6.4%
n	867599	6.2%
o	839337	5.9%
r	668788	4.7%
s	603933	4.3%
l	475987	3.4%
Other values (60)	4508870	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10886728	77.2%
Space Separator	2235233	15.8%
Other Punctuation	527236	3.7%
Control	222649	1.6%
Math Symbol	157000	1.1%
Decimal Number	24723	0.2%
Dash Punctuation	24185	0.2%
Close Punctuation	15135	0.1%
Open Punctuation	12672	0.1%
Connector Punctuation	762	< 0.1%
Other values (2)	354	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1120460	10.3%
i	967940	8.9%
t	916205	8.4%
a	902325	8.3%
n	867599	8.0%
o	839337	7.7%
r	668788	6.1%
s	603933	5.5%
l	475987	4.4%
h	399971	3.7%
Other values (16)	3124183	28.7%

Other Punctuation

Value	Count	Frequency (%)
.	189629	36.0%
,	127983	24.3%
/	76422	14.5%
'	60750	11.5%
"	32546	6.2%
!	12797	2.4%
?	10015	1.9%
:	7065	1.3%
;	5187	1.0%
&	2417	0.5%
Other values (5)	2425	0.5%

Decimal Number

Value	Count	Frequency (%)
0	5481	22.2%
1	4482	18.1%
2	4460	18.0%
3	2235	9.0%
5	2145	8.7%
4	1625	6.6%
9	1235	5.0%
6	1097	4.4%
8	1047	4.2%
7	916	3.7%

Math Symbol

Value	Count	Frequency (%)
>	67187	42.8%
<	67187	42.8%
=	19450	12.4%
+	2870	1.8%
~	265	0.2%
\|	41	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	14875	98.3%
]	233	1.5%
}	27	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	12447	98.2%
[	204	1.6%
{	21	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	102	85.7%
`	17	14.3%

Space Separator

Value	Count	Frequency (%)
	2235233	100.0%

Control

Value	Count	Frequency (%)
	222649	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	24185	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	762	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	235	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10886728	77.2%
Common	3219949	22.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
	2235233	69.4%
	222649	6.9%
.	189629	5.9%
,	127983	4.0%
/	76422	2.4%
>	67187	2.1%
<	67187	2.1%
'	60750	1.9%
"	32546	1.0%
-	24185	0.8%
Other values (34)	116178	3.6%

Latin

Value	Count	Frequency (%)
e	1120460	10.3%
i	967940	8.9%
t	916205	8.4%
a	902325	8.3%
n	867599	8.0%
o	839337	7.7%
r	668788	6.1%
s	603933	5.5%
l	475987	4.4%
h	399971	3.7%
Other values (16)	3124183	28.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	14106677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	2235233	15.8%
e	1120460	7.9%
i	967940	6.9%
t	916205	6.5%
a	902325	6.4%
n	867599	6.2%
o	839337	5.9%
r	668788	4.7%
s	603933	4.3%
l	475987	3.4%
Other values (60)	4508870	32.0%

essay2
Text

MISSING

Distinct	48635
Distinct (%)	96.7%
Missing	9638
Missing (%)	16.1%
Memory size	468.5 KiB

Length

Max length	6129
Median length	1485
Mean length	173.51608
Min length	1

Characters and Unicode

Total characters	8729247
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48140 ?
Unique (%)	95.7%

Sample

1st row	making people laugh.<br /> ranting about a good salting.<br /> finding simplicity in complexity, and complexity in simplicity.
2nd row	being silly. having ridiculous amonts of fun wherever. being a smart ass. ohh and i can cook. ;)
3rd row	improvising in different contexts. alternating between being present and decidedly outside of a moment, or trying to hold both at once. rambling intellectual conversations that hold said conversations in contempt while seeking to find something that transcends them. being critical while remaining generous. listening to and using body language--often performed in caricature or large gestures, if not outright interpretive dance. dry, dark, and raunchy humor.
4th row	playing synthesizers and organizing books according to the library of congress classification system
5th row	creating imagery to look at:<br /> http://bagsbrown.blogspot.com/<br /> http://stayruly.blogspot.com/

Value	Count	Frequency (%)
	70107	4.9%
and	47183	3.3%
i	45140	3.2%
a	39790	2.8%
to	30149	2.1%
the	28493	2.0%
at	19612	1.4%
of	19194	1.3%
my	19166	1.3%
good	18952	1.3%
Other values (60630)	1090318	76.3%

Most occurring characters

Value	Count	Frequency (%)
	1234476	14.1%
e	646042	7.4%
i	637870	7.3%
n	587824	6.7%
a	535247	6.1%
t	530389	6.1%
o	483611	5.5%
s	388235	4.4%
r	380702	4.4%
g	326500	3.7%
Other values (60)	2978351	34.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6705076	76.8%
Space Separator	1234476	14.1%
Other Punctuation	426736	4.9%
Math Symbol	162196	1.9%
Control	143906	1.6%
Dash Punctuation	20288	0.2%
Close Punctuation	14045	0.2%
Open Punctuation	11201	0.1%
Decimal Number	10594	0.1%
Connector Punctuation	527	< 0.1%
Other values (2)	202	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	646042	9.6%
i	637870	9.5%
n	587824	8.8%
a	535247	8.0%
t	530389	7.9%
o	483611	7.2%
s	388235	5.8%
r	380702	5.7%
g	326500	4.9%
l	304982	4.5%
Other values (16)	1883674	28.1%

Other Punctuation

Value	Count	Frequency (%)
.	145233	34.0%
,	111947	26.2%
/	75441	17.7%
'	34985	8.2%
"	27478	6.4%
?	8215	1.9%
!	8017	1.9%
;	5724	1.3%
:	4877	1.1%
&	2085	0.5%
Other values (5)	2734	0.6%

Decimal Number

Value	Count	Frequency (%)
0	2216	20.9%
1	1733	16.4%
2	1644	15.5%
3	1149	10.8%
5	891	8.4%
4	788	7.4%
6	594	5.6%
8	577	5.4%
9	541	5.1%
7	461	4.4%

Math Symbol

Value	Count	Frequency (%)
<	71067	43.8%
>	71067	43.8%
=	17324	10.7%
+	2430	1.5%
~	279	0.2%
\|	29	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	13803	98.3%
]	212	1.5%
}	30	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	11006	98.3%
[	176	1.6%
{	19	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	92	87.6%
`	13	12.4%

Space Separator

Value	Count	Frequency (%)
	1234476	100.0%

Control

Value	Count	Frequency (%)
	143906	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20288	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	527	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	97	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6705076	76.8%
Common	2024171	23.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1234476	61.0%
.	145233	7.2%
	143906	7.1%
,	111947	5.5%
/	75441	3.7%
<	71067	3.5%
>	71067	3.5%
'	34985	1.7%
"	27478	1.4%
-	20288	1.0%
Other values (34)	88283	4.4%

Latin

Value	Count	Frequency (%)
e	646042	9.6%
i	637870	9.5%
n	587824	8.8%
a	535247	8.0%
t	530389	7.9%
o	483611	7.2%
s	388235	5.8%
r	380702	5.7%
g	326500	4.9%
l	304982	4.5%
Other values (16)	1883674	28.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8729247	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1234476	14.1%
e	646042	7.4%
i	637870	7.3%
n	587824	6.7%
a	535247	6.1%
t	530389	6.1%
o	483611	5.5%
s	388235	4.4%
r	380702	4.4%
g	326500	3.7%
Other values (60)	2978351	34.1%

essay3
Text

MISSING

Distinct	43533
Distinct (%)	89.8%
Missing	11476
Missing (%)	19.1%
Memory size	468.5 KiB

Length

Max length	4374
Median length	1239
Mean length	91.146028
Min length	1

Characters and Unicode

Total characters	4417848
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42624 ?
Unique (%)	87.9%

Sample

1st row	the way i look. i am a six foot half asian, half caucasian mutt. it makes it tough not to notice me, and for me to blend in.
2nd row	my large jaw and large glasses are the physical things people comment on the most. when sufficiently stimulated, i have an unmistakable cackle of a laugh. after that, it goes in more directions than i care to describe right now. maybe i'll come back to this.
3rd row	socially awkward but i do my best
4th row	i smile a lot and my inquisitive nature
5th row	i have a big smile. i also get asked if i'm wearing blue-coloured contacts (no).

Value	Count	Frequency (%)
my	45881	5.5%
i	40785	4.9%
and	25480	3.1%
	21872	2.6%
a	20504	2.5%
to	16122	1.9%
that	15465	1.9%
the	15319	1.8%
i'm	14315	1.7%
of	11276	1.4%
Other values (33044)	602635	72.6%

Most occurring characters

Value	Count	Frequency (%)
	726649	16.4%
e	388064	8.8%
t	286641	6.5%
a	270161	6.1%
i	265545	6.0%
o	245249	5.6%
n	212342	4.8%
s	208801	4.7%
l	175280	4.0%
r	169551	3.8%
Other values (60)	1469565	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3353139	75.9%
Space Separator	726649	16.4%
Other Punctuation	217172	4.9%
Control	54638	1.2%
Math Symbol	40453	0.9%
Dash Punctuation	7937	0.2%
Close Punctuation	7207	0.2%
Decimal Number	5543	0.1%
Open Punctuation	4573	0.1%
Connector Punctuation	316	< 0.1%
Other values (2)	221	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	388064	11.6%
t	286641	8.5%
a	270161	8.1%
i	265545	7.9%
o	245249	7.3%
n	212342	6.3%
s	208801	6.2%
l	175280	5.2%
r	169551	5.1%
m	153196	4.6%
Other values (16)	978309	29.2%

Other Punctuation

Value	Count	Frequency (%)
.	93469	43.0%
,	39819	18.3%
'	33274	15.3%
/	19987	9.2%
"	10512	4.8%
?	6683	3.1%
!	5646	2.6%
:	3905	1.8%
;	2257	1.0%
&	714	0.3%
Other values (5)	906	0.4%

Decimal Number

Value	Count	Frequency (%)
1	1018	18.4%
0	929	16.8%
2	774	14.0%
5	707	12.8%
6	622	11.2%
3	524	9.5%
4	357	6.4%
9	255	4.6%
8	183	3.3%
7	174	3.1%

Math Symbol

Value	Count	Frequency (%)
>	18461	45.6%
<	18461	45.6%
=	2658	6.6%
+	495	1.2%
~	270	0.7%
\|	108	0.3%

Close Punctuation

Value	Count	Frequency (%)
)	7086	98.3%
]	109	1.5%
}	12	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	4485	98.1%
[	81	1.8%
{	7	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	173	95.1%
`	9	4.9%

Space Separator

Value	Count	Frequency (%)
	726649	100.0%

Control

Value	Count	Frequency (%)
	54638	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7937	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	316	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	39	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3353139	75.9%
Common	1064709	24.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
	726649	68.2%
.	93469	8.8%
	54638	5.1%
,	39819	3.7%
'	33274	3.1%
/	19987	1.9%
>	18461	1.7%
<	18461	1.7%
"	10512	1.0%
-	7937	0.7%
Other values (34)	41502	3.9%

Latin

Value	Count	Frequency (%)
e	388064	11.6%
t	286641	8.5%
a	270161	8.1%
i	265545	7.9%
o	245249	7.3%
n	212342	6.3%
s	208801	6.2%
l	175280	5.2%
r	169551	5.1%
m	153196	4.6%
Other values (16)	978309	29.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4417848	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	726649	16.4%
e	388064	8.8%
t	286641	6.5%
a	270161	6.1%
i	265545	6.0%
o	245249	5.6%
n	212342	4.8%
s	208801	4.7%
l	175280	4.0%
r	169551	3.8%
Other values (60)	1469565	33.3%

essay4
Text

MISSING

Distinct	49260
Distinct (%)	99.7%
Missing	10537
Missing (%)	17.6%
Memory size	468.5 KiB

Length

Max length	44469
Median length	3697
Mean length	683.12712
Min length	1

Characters and Unicode

Total characters	33752628
Distinct characters	71
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	49191 ?
Unique (%)	99.6%

Sample

1st row	books:<br /> absurdistan, the republic, of mice and men (only book that made me want to cry), catcher in the rye, the prince.<br /> <br /> movies:<br /> gladiator, operation valkyrie, the producers, down periscope.<br /> <br /> shows:<br /> the borgia, arrested development, game of thrones, monty python<br /> <br /> music:<br /> aesop rock, hail mary mallon, george thorogood and the delaware destroyers, felt<br /> <br /> food:<br /> i'm down for anything.
2nd row	i am die hard christopher moore fan. i don't really watch a lot of tv unless there is humor involved. i am kind of stuck on 90's alternative music. i am pretty much a fan of everything though... i do need to draw a line at most types of electronica.
3rd row	okay this is where the cultural matrix gets so specific, it's like being in the crosshairs.<br /> <br /> for what it's worth, i find myself reading more non-fiction than fiction. it's usually some kind of philosophy, art, or science text by silly authors such as ranciere, de certeau, bataille, baudrillard, butler, stein, arendt, nietzche, zizek, etc. i'll often throw in some weird new age or pop-psychology book in the mix as well. as for fiction, i enjoy what little i've read of eco, perec, wallace, bolao, dick, vonnegut, atwood, delilo, etc. when i was young, i was a rabid asimov reader.<br /> <br /> directors i find myself drawn to are makavejev, kuchar, jodorowsky, herzog, hara, klein, waters, verhoeven, ackerman, hitchcock, lang, gorin, goddard, miike, ohbayashi, tarkovsky, sokurov, warhol, etc. but i also like a good amount of "trashy" stuff. too much to name.<br /> <br /> i definitely enjoy the character development that happens in long form episodic television over the course of 10-100 episodes, which a 1-2hr movie usually can't compete with. some of my recent tv favorites are: breaking bad, the wire, dexter, true blood, the prisoner, lost, fringe.<br /> <br /> a smattered sampling of the vast field of music i like and deejay: art ensemble, sun ra, evan parker, lil wayne, dj funk, mr. fingers, maurizio, rob hood, dan bell, james blake, nonesuch recordings, omar souleyman, ethiopiques, fela kuti, john cage, meredith monk, robert ashley, terry riley, yoko ono, merzbow, tom tom club, jit, juke, bounce, hyphy, snap, crunk, b'more, kuduro, pop, noise, jazz, techno, house, acid, new/no wave, (post)punk, etc.<br /> <br /> a few of the famous art/dance/theater folk that might locate my sensibility: andy warhol, bruce nauman, yayoi kusama, louise bourgeois, tino sehgal, george kuchar, michel duchamp, marina abramovic, gelatin, carolee schneeman, gustav metzger, mike kelly, mike smith, andrea fraser, gordon matta-clark, jerzy grotowski, samuel beckett, antonin artaud, tadeusz kantor, anna halperin, merce cunningham, etc. i'm clearly leaving out a younger generation of contemporary artists, many of whom are friends.<br /> <br /> local food regulars: sushi zone, chow, ppq, pagolac, lers ros, burma superstar, minako, shalimar, delfina pizza, rosamunde, arinells, suppenkuche, cha-ya, blue plate, golden era, etc.
4th row	bataille, celine, beckett. . .<br /> lynch, jarmusch, r.w. fassbender. . .<br /> twin peaks & fishing w/ john<br /> joy division, throbbing gristle, cabaret voltaire. . .<br /> vegetarian pho and coffee
5th row	music: bands, rappers, musicians<br /> at the moment: thee oh sees.<br /> forever: wu-tang<br /> books: artbooks for days<br /> audiobooks: my collection, thick (thanks audible)<br /> shows: live ones<br /> food: with stellar friends whenever<br /> movies > tv<br /> podcast: radiolab, this american life, the moth, joe rogan, the champs

Value	Count	Frequency (%)
	311993	5.9%
the	198930	3.7%
i	146972	2.8%
a	134556	2.5%
and	134208	2.5%
of	103780	2.0%
br	91239	1.7%
to	79397	1.5%
class="ilink	45964	0.9%
my	42530	0.8%
Other values (202769)	4022566	75.7%

Most occurring characters

Value	Count	Frequency (%)
	4591593	13.6%
e	2648704	7.8%
a	2118103	6.3%
i	1986421	5.9%
o	1910749	5.7%
t	1879874	5.6%
r	1734850	5.1%
s	1725134	5.1%
n	1645225	4.9%
l	1209976	3.6%
Other values (61)	12301999	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	24965961	74.0%
Space Separator	4591593	13.6%
Other Punctuation	2214204	6.6%
Math Symbol	1027173	3.0%
Control	673107	2.0%
Decimal Number	106249	0.3%
Dash Punctuation	73086	0.2%
Close Punctuation	50521	0.1%
Open Punctuation	46768	0.1%
Connector Punctuation	3397	< 0.1%
Other values (2)	569	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2648704	10.6%
a	2118103	8.5%
i	1986421	8.0%
o	1910749	7.7%
t	1879874	7.5%
r	1734850	6.9%
s	1725134	6.9%
n	1645225	6.6%
l	1209976	4.8%
h	1014003	4.1%
Other values (16)	7092922	28.4%

Other Punctuation

Value	Count	Frequency (%)
,	806612	36.4%
/	419641	19.0%
.	375604	17.0%
"	248377	11.2%
'	107546	4.9%
:	102464	4.6%
?	61879	2.8%
;	33072	1.5%
!	25065	1.1%
&	16497	0.7%
Other values (5)	17447	0.8%

Decimal Number

Value	Count	Frequency (%)
0	29370	27.6%
2	15583	14.7%
1	13421	12.6%
3	11190	10.5%
9	7362	6.9%
8	7213	6.8%
5	6525	6.1%
4	6409	6.0%
7	4970	4.7%
6	4206	4.0%

Math Symbol

Value	Count	Frequency (%)
<	403803	39.3%
>	403803	39.3%
=	165411	16.1%
+	53056	5.2%
~	770	0.1%
\|	330	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	49588	98.2%
]	844	1.7%
}	89	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	45916	98.2%
[	768	1.6%
{	84	0.2%

Control

Value	Count	Frequency (%)
	673106	> 99.9%
	1	< 0.1%

Modifier Symbol

Value	Count	Frequency (%)
^	151	74.0%
`	53	26.0%

Space Separator

Value	Count	Frequency (%)
	4591593	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	73086	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	3397	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	365	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	24965961	74.0%
Common	8786667	26.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
	4591593	52.3%
,	806612	9.2%
	673106	7.7%
/	419641	4.8%
<	403803	4.6%
>	403803	4.6%
.	375604	4.3%
"	248377	2.8%
=	165411	1.9%
'	107546	1.2%
Other values (35)	591171	6.7%

Latin

Value	Count	Frequency (%)
e	2648704	10.6%
a	2118103	8.5%
i	1986421	8.0%
o	1910749	7.7%
t	1879874	7.5%
r	1734850	6.9%
s	1725134	6.9%
n	1645225	6.6%
l	1209976	4.8%
h	1014003	4.1%
Other values (16)	7092922	28.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33752628	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4591593	13.6%
e	2648704	7.8%
a	2118103	6.3%
i	1986421	5.9%
o	1910749	5.7%
t	1879874	5.6%
r	1734850	5.1%
s	1725134	5.1%
n	1645225	4.9%
l	1209976	3.6%
Other values (61)	12301999	36.4%

essay5
Text

MISSING

Distinct	48963
Distinct (%)	99.7%
Missing	10850
Missing (%)	18.1%
Memory size	468.5 KiB

Length

Max length	30446
Median length	1472
Mean length	147.50338
Min length	1

Characters and Unicode

Total characters	7241826
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	48865 ?
Unique (%)	99.5%

Sample

1st row	food.<br /> water.<br /> cell phone.<br /> shelter.
2nd row	delicious porkness in all of its glories.<br /> my big ass doughboy's sinking into 15 new inches.<br /> my overly resilient liver.<br /> a good sharp knife.<br /> my ps3... it plays blurays too. ;)<br /> my over the top energy and my outlook on life... just give me a bag of lemons and see what happens. ;)
3rd row	movement<br /> conversation<br /> creation<br /> contemplation<br /> touch<br /> humor
4th row	like everyone else, i love my friends and family, and need hugs, human contact, water and sunshine. let's take that as given.<br /> <br /> 1. something to build<br /> 2. something to sing<br /> 3. something to play on (my guitar would be first choice)<br /> 4. something to write/draw on<br /> 5. a big goal worth dreaming about<br /> 6. something to laugh at
5th row	laughter<br /> amazing people in my life<br /> color<br /> curiosity<br /> music and rhythm<br /> a good pair of sunglasses

Value	Count	Frequency (%)
	177141	14.6%
my	46937	3.9%
and	29978	2.5%
a	26898	2.2%
the	24187	2.0%
i	21801	1.8%
to	18265	1.5%
of	14215	1.2%
friends	12336	1.0%
br	10934	0.9%
Other values (63172)	829074	68.4%

Most occurring characters

Value	Count	Frequency (%)
	965830	13.3%
e	517990	7.2%
r	426006	5.9%
i	381921	5.3%
o	379041	5.2%
a	370303	5.1%
t	359223	5.0%
n	333540	4.6%
s	328214	4.5%
b	233499	3.2%
Other values (60)	2946259	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5098129	70.4%
Space Separator	965830	13.3%
Other Punctuation	502438	6.9%
Math Symbol	354801	4.9%
Control	197742	2.7%
Decimal Number	53781	0.7%
Close Punctuation	26685	0.4%
Dash Punctuation	25681	0.4%
Open Punctuation	15475	0.2%
Connector Punctuation	701	< 0.1%
Other values (2)	563	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	517990	10.2%
r	426006	8.4%
i	381921	7.5%
o	379041	7.4%
a	370303	7.3%
t	359223	7.0%
n	333540	6.5%
s	328214	6.4%
b	233499	4.6%
l	215999	4.2%
Other values (16)	1552393	30.5%

Other Punctuation

Value	Count	Frequency (%)
/	208994	41.6%
.	113328	22.6%
,	109225	21.7%
"	18402	3.7%
'	17406	3.5%
?	7281	1.4%
!	7131	1.4%
;	6487	1.3%
:	6075	1.2%
&	4092	0.8%
Other values (5)	4017	0.8%

Decimal Number

Value	Count	Frequency (%)
2	8866	16.5%
1	8781	16.3%
3	8461	15.7%
6	8226	15.3%
4	7919	14.7%
5	7905	14.7%
0	1568	2.9%
7	979	1.8%
8	574	1.1%
9	502	0.9%

Math Symbol

Value	Count	Frequency (%)
>	170308	48.0%
<	170308	48.0%
=	11730	3.3%
+	2021	0.6%
~	393	0.1%
\|	41	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	26410	99.0%
]	248	0.9%
}	27	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	15234	98.4%
[	215	1.4%
{	26	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	66	85.7%
`	11	14.3%

Space Separator

Value	Count	Frequency (%)
	965830	100.0%

Control

Value	Count	Frequency (%)
	197742	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	25681	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	701	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	486	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5098129	70.4%
Common	2143697	29.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	965830	45.1%
/	208994	9.7%
	197742	9.2%
>	170308	7.9%
<	170308	7.9%
.	113328	5.3%
,	109225	5.1%
)	26410	1.2%
-	25681	1.2%
"	18402	0.9%
Other values (34)	137469	6.4%

Latin

Value	Count	Frequency (%)
e	517990	10.2%
r	426006	8.4%
i	381921	7.5%
o	379041	7.4%
a	370303	7.3%
t	359223	7.0%
n	333540	6.5%
s	328214	6.4%
b	233499	4.6%
l	215999	4.2%
Other values (16)	1552393	30.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7241826	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	965830	13.3%
e	517990	7.2%
r	426006	5.9%
i	381921	5.3%
o	379041	5.2%
a	370303	5.1%
t	359223	5.0%
n	333540	4.6%
s	328214	4.5%
b	233499	3.2%
Other values (60)	2946259	40.7%

essay6
Text

MISSING

Distinct	43603
Distinct (%)	94.4%
Missing	13771
Missing (%)	23.0%
Memory size	468.5 KiB

Length

Max length	11385
Median length	2003
Mean length	152.20184
Min length	1

Characters and Unicode

Total characters	7027920
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42914 ?
Unique (%)	92.9%

Sample

1st row	duality and humorous things
2nd row	cats and german philosophy
3rd row	what my contribution to the world is going to be and/or should be. and what's for breakfast. i love breakfast.
4th row	synchronicity<br /> <br /> there is this whole other realm where the fabrics of our life stories intersect as they dance and play in a magical burst of energy. this realm doesn't need you to believe in it in order to maintain. it is a cluster of synchronicities and happenings. it is a gift to those who notice them. something to be treasured appreciated. there is something special in each and every moment that you experience in your daily waking life. this something brings us back to the age old question: if a tree falls in the forest and no one is there to hear it, does it make a sound? this works in the same way. if you are not consciously there to hear it, see it, taste it, smell it, feel it none of this matters, it's still there. pay attention to the little things, those that are often overlooked. see if you can find the magic in this gift we call life.
5th row	things that amuse and inspire me

Value	Count	Frequency (%)
	49138	3.9%
to	46403	3.7%
the	45399	3.6%
i	44615	3.6%
and	39477	3.2%
my	27552	2.2%
a	27355	2.2%
of	21091	1.7%
how	20967	1.7%
in	16909	1.4%
Other values (55995)	912780	72.9%

Most occurring characters

Value	Count	Frequency (%)
	1096730	15.6%
e	586977	8.4%
t	496710	7.1%
i	430953	6.1%
o	423104	6.0%
a	408292	5.8%
n	386204	5.5%
r	309774	4.4%
s	301760	4.3%
h	266713	3.8%
Other values (60)	2320703	33.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5352507	76.2%
Space Separator	1096730	15.6%
Other Punctuation	322000	4.6%
Math Symbol	110652	1.6%
Control	109150	1.6%
Dash Punctuation	13054	0.2%
Decimal Number	10396	0.1%
Close Punctuation	6780	0.1%
Open Punctuation	5430	0.1%
Connector Punctuation	996	< 0.1%
Other values (2)	225	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	586977	11.0%
t	496710	9.3%
i	430953	8.1%
o	423104	7.9%
a	408292	7.6%
n	386204	7.2%
r	309774	5.8%
s	301760	5.6%
h	266713	5.0%
l	231384	4.3%
Other values (16)	1510636	28.2%

Other Punctuation

Value	Count	Frequency (%)
.	119011	37.0%
,	71765	22.3%
/	53646	16.7%
'	25821	8.0%
"	20705	6.4%
?	13571	4.2%
!	6299	2.0%
:	4099	1.3%
;	3913	1.2%
&	1224	0.4%
Other values (5)	1946	0.6%

Decimal Number

Value	Count	Frequency (%)
0	2423	23.3%
1	1825	17.6%
2	1687	16.2%
5	967	9.3%
3	938	9.0%
4	758	7.3%
9	516	5.0%
6	457	4.4%
8	445	4.3%
7	380	3.7%

Math Symbol

Value	Count	Frequency (%)
>	48888	44.2%
<	48888	44.2%
=	10909	9.9%
+	1645	1.5%
~	258	0.2%
\|	64	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	6640	97.9%
]	126	1.9%
}	14	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	5311	97.8%
[	110	2.0%
{	9	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	48	73.8%
`	17	26.2%

Space Separator

Value	Count	Frequency (%)
	1096730	100.0%

Control

Value	Count	Frequency (%)
	109150	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	13054	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	996	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5352507	76.2%
Common	1675413	23.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1096730	65.5%
.	119011	7.1%
	109150	6.5%
,	71765	4.3%
/	53646	3.2%
>	48888	2.9%
<	48888	2.9%
'	25821	1.5%
"	20705	1.2%
?	13571	0.8%
Other values (34)	67238	4.0%

Latin

Value	Count	Frequency (%)
e	586977	11.0%
t	496710	9.3%
i	430953	8.1%
o	423104	7.9%
a	408292	7.6%
n	386204	7.2%
r	309774	5.8%
s	301760	5.6%
h	266713	5.0%
l	231384	4.3%
Other values (16)	1510636	28.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7027920	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1096730	15.6%
e	586977	8.4%
t	496710	7.1%
i	430953	6.1%
o	423104	6.0%
a	408292	5.8%
n	386204	5.5%
r	309774	4.4%
s	301760	4.3%
h	266713	3.8%
Other values (60)	2320703	33.0%

essay7
Text

MISSING

Distinct	45554
Distinct (%)	95.9%
Missing	12451
Missing (%)	20.8%
Memory size	468.5 KiB

Length

Max length	3722
Median length	905
Mean length	118.9796
Min length	1

Characters and Unicode

Total characters	5650936
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44968 ?
Unique (%)	94.7%

Sample

1st row	trying to find someone to hang out with. i am down for anything except a club.
2nd row	viewing. listening. dancing. talking. drinking. performing.
3rd row	out with my friends!
4th row	plotting to take over the world with my army of segway riding pandas and fire breathing kittens
5th row	out and about or relaxing at home with a good book or netflix

Value	Count	Frequency (%)
a	46249	4.5%
with	31687	3.1%
or	30343	3.0%
the	28529	2.8%
to	25068	2.5%
out	24955	2.4%
i	23314	2.3%
and	22717	2.2%
friends	21320	2.1%
	20303	2.0%
Other values (33931)	747297	73.1%

Most occurring characters

Value	Count	Frequency (%)
	903456	16.0%
e	417348	7.4%
i	407086	7.2%
n	369703	6.5%
t	365702	6.5%
o	358403	6.3%
a	340228	6.0%
r	268582	4.8%
s	216473	3.8%
h	199601	3.5%
Other values (60)	1804354	31.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4392425	77.7%
Space Separator	903456	16.0%
Other Punctuation	218700	3.9%
Control	70937	1.3%
Math Symbol	41995	0.7%
Dash Punctuation	7411	0.1%
Decimal Number	5739	0.1%
Close Punctuation	5647	0.1%
Open Punctuation	4174	0.1%
Connector Punctuation	324	< 0.1%
Other values (2)	128	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	417348	9.5%
i	407086	9.3%
n	369703	8.4%
t	365702	8.3%
o	358403	8.2%
a	340228	7.7%
r	268582	6.1%
s	216473	4.9%
h	199601	4.5%
g	179995	4.1%
Other values (16)	1269304	28.9%

Other Punctuation

Value	Count	Frequency (%)
.	88453	40.4%
,	61467	28.1%
/	23488	10.7%
'	19707	9.0%
"	8692	4.0%
!	6187	2.8%
?	3836	1.8%
:	2895	1.3%
;	2275	1.0%
&	861	0.4%
Other values (5)	839	0.4%

Decimal Number

Value	Count	Frequency (%)
0	1144	19.9%
1	1070	18.6%
2	895	15.6%
3	673	11.7%
5	485	8.5%
4	383	6.7%
9	321	5.6%
8	281	4.9%
6	250	4.4%
7	237	4.1%

Math Symbol

Value	Count	Frequency (%)
>	18264	43.5%
<	18264	43.5%
=	4527	10.8%
+	831	2.0%
~	96	0.2%
\|	13	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	5558	98.4%
]	72	1.3%
}	17	0.3%

Open Punctuation

Value	Count	Frequency (%)
(	4093	98.1%
[	66	1.6%
{	15	0.4%

Modifier Symbol

Value	Count	Frequency (%)
^	62	95.4%
`	3	4.6%

Space Separator

Value	Count	Frequency (%)
	903456	100.0%

Control

Value	Count	Frequency (%)
	70937	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7411	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	324	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	63	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4392425	77.7%
Common	1258511	22.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
	903456	71.8%
.	88453	7.0%
	70937	5.6%
,	61467	4.9%
/	23488	1.9%
'	19707	1.6%
>	18264	1.5%
<	18264	1.5%
"	8692	0.7%
-	7411	0.6%
Other values (34)	38372	3.0%

Latin

Value	Count	Frequency (%)
e	417348	9.5%
i	407086	9.3%
n	369703	8.4%
t	365702	8.3%
o	358403	8.2%
a	340228	7.7%
r	268582	6.1%
s	216473	4.9%
h	199601	4.5%
g	179995	4.1%
Other values (16)	1269304	28.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5650936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	903456	16.0%
e	417348	7.4%
i	407086	7.2%
n	369703	6.5%
t	365702	6.5%
o	358403	6.3%
a	340228	6.0%
r	268582	4.8%
s	216473	3.8%
h	199601	3.5%
Other values (60)	1804354	31.9%

essay8
Text

MISSING

Distinct	39324
Distinct (%)	96.6%
Missing	19225
Missing (%)	32.1%
Memory size	468.5 KiB

Length

Max length	13304
Median length	1816
Mean length	109.97854
Min length	1

Characters and Unicode

Total characters	4478436
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	38760 ?
Unique (%)	95.2%

Sample

1st row	i am new to california and looking for someone to wisper my secrets to.
2nd row	i am very open and will share just about anything.
3rd row	when i was five years old, i was known as "the boogerman".
4th row	i cried on my first day at school because a bird shat on my head. true story.
5th row	my typical friday night

Value	Count	Frequency (%)
i	52524	6.2%
a	25434	3.0%
to	24201	2.9%
	21695	2.6%
the	20045	2.4%
and	17706	2.1%
my	13567	1.6%
of	12926	1.5%
in	11291	1.3%
i'm	11267	1.3%
Other values (41360)	636078	75.1%

Most occurring characters

Value	Count	Frequency (%)
	748354	16.7%
e	377493	8.4%
t	309333	6.9%
i	293386	6.6%
a	275207	6.1%
o	267227	6.0%
n	231521	5.2%
s	199215	4.4%
r	186586	4.2%
l	157639	3.5%
Other values (60)	1432475	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3393375	75.8%
Space Separator	748354	16.7%
Other Punctuation	207743	4.6%
Control	57830	1.3%
Math Symbol	42295	0.9%
Decimal Number	10702	0.2%
Dash Punctuation	7806	0.2%
Close Punctuation	5998	0.1%
Open Punctuation	3657	0.1%
Connector Punctuation	477	< 0.1%
Other values (2)	199	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	377493	11.1%
t	309333	9.1%
i	293386	8.6%
a	275207	8.1%
o	267227	7.9%
n	231521	6.8%
s	199215	5.9%
r	186586	5.5%
l	157639	4.6%
h	150192	4.4%
Other values (16)	945576	27.9%

Other Punctuation

Value	Count	Frequency (%)
.	94744	45.6%
'	33521	16.1%
,	29438	14.2%
/	21063	10.1%
"	9882	4.8%
!	6443	3.1%
?	4781	2.3%
:	3753	1.8%
;	2143	1.0%
*	839	0.4%
Other values (5)	1136	0.5%

Decimal Number

Value	Count	Frequency (%)
0	2243	21.0%
1	1988	18.6%
2	1592	14.9%
3	1014	9.5%
5	922	8.6%
4	741	6.9%
9	593	5.5%
8	576	5.4%
6	553	5.2%
7	480	4.5%

Math Symbol

Value	Count	Frequency (%)
>	19109	45.2%
<	19109	45.2%
=	3203	7.6%
+	770	1.8%
~	91	0.2%
\|	13	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	5871	97.9%
]	111	1.9%
}	16	0.3%

Open Punctuation

Value	Count	Frequency (%)
(	3550	97.1%
[	99	2.7%
{	8	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	89	84.8%
`	16	15.2%

Space Separator

Value	Count	Frequency (%)
	748354	100.0%

Control

Value	Count	Frequency (%)
	57830	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7806	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	477	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	94	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3393375	75.8%
Common	1085061	24.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
	748354	69.0%
.	94744	8.7%
	57830	5.3%
'	33521	3.1%
,	29438	2.7%
/	21063	1.9%
>	19109	1.8%
<	19109	1.8%
"	9882	0.9%
-	7806	0.7%
Other values (34)	44205	4.1%

Latin

Value	Count	Frequency (%)
e	377493	11.1%
t	309333	9.1%
i	293386	8.6%
a	275207	8.1%
o	267227	7.9%
n	231521	6.8%
s	199215	5.9%
r	186586	5.5%
l	157639	4.6%
h	150192	4.4%
Other values (16)	945576	27.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4478436	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	748354	16.7%
e	377493	8.4%
t	309333	6.9%
i	293386	6.6%
a	275207	6.1%
o	267227	6.0%
n	231521	5.2%
s	199215	4.4%
r	186586	4.2%
l	157639	3.5%
Other values (60)	1432475	32.0%

essay9
Text

MISSING

Distinct	45443
Distinct (%)	96.0%
Missing	12603
Missing (%)	21.0%
Memory size	468.5 KiB

Length

Max length	11444
Median length	2338
Mean length	200.75874
Min length	1

Characters and Unicode

Total characters	9504521
Distinct characters	70
Distinct categories	12 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	44907 ?
Unique (%)	94.9%

Sample

1st row	you want to be swept off your feet!<br /> you are tired of the norm.<br /> you want to catch a coffee or a bite.<br /> or if you want to talk philosophy.
2nd row	you are bright, open, intense, silly, ironic, critical, caring, generous, looking for an exploration, rather than finding "a match" of some predetermined qualities.<br /> <br /> i'm currently in a fabulous and open relationship, so you should be comfortable with that.
3rd row	you feel so inclined.
4th row	you're awesome.
5th row	http://www.youtube.com/watch?v=4dxbwzuwsxk let's have some fun and maybe get into a little trouble

Value	Count	Frequency (%)
you	92351	5.3%
	80334	4.6%
to	64399	3.7%
a	57414	3.3%
and	55494	3.2%
the	30132	1.7%
if	27586	1.6%
are	25415	1.5%
i	24582	1.4%
of	22228	1.3%
Other values (59552)	1257693	72.4%

Most occurring characters

Value	Count	Frequency (%)
	1531856	16.1%
e	790835	8.3%
o	690489	7.3%
t	591714	6.2%
a	575229	6.1%
n	527024	5.5%
i	507084	5.3%
r	448017	4.7%
s	378326	4.0%
l	299302	3.1%
Other values (60)	3164645	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7162843	75.4%
Space Separator	1531856	16.1%
Other Punctuation	433016	4.6%
Control	159131	1.7%
Math Symbol	156828	1.7%
Dash Punctuation	23747	0.2%
Close Punctuation	14086	0.1%
Decimal Number	12610	0.1%
Open Punctuation	8802	0.1%
Connector Punctuation	1280	< 0.1%
Other values (2)	322	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	790835	11.0%
o	690489	9.6%
t	591714	8.3%
a	575229	8.0%
n	527024	7.4%
i	507084	7.1%
r	448017	6.3%
s	378326	5.3%
l	299302	4.2%
u	298149	4.2%
Other values (16)	2056674	28.7%

Other Punctuation

Value	Count	Frequency (%)
.	145801	33.7%
,	93321	21.6%
/	80213	18.5%
'	54400	12.6%
"	19765	4.6%
!	11955	2.8%
:	8743	2.0%
?	7004	1.6%
;	5053	1.2%
*	4176	1.0%
Other values (5)	2585	0.6%

Decimal Number

Value	Count	Frequency (%)
0	2699	21.4%
1	2194	17.4%
2	1839	14.6%
3	1249	9.9%
5	1221	9.7%
4	1014	8.0%
6	625	5.0%
8	613	4.9%
9	612	4.9%
7	544	4.3%

Math Symbol

Value	Count	Frequency (%)
<	72750	46.4%
>	72750	46.4%
=	8584	5.5%
+	1763	1.1%
~	917	0.6%
\|	64	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	13789	97.9%
]	275	2.0%
}	22	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	8581	97.5%
[	205	2.3%
{	16	0.2%

Modifier Symbol

Value	Count	Frequency (%)
^	222	92.9%
`	17	7.1%

Space Separator

Value	Count	Frequency (%)
	1531856	100.0%

Control

Value	Count	Frequency (%)
	159131	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	23747	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1280	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	83	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7162843	75.4%
Common	2341678	24.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	1531856	65.4%
	159131	6.8%
.	145801	6.2%
,	93321	4.0%
/	80213	3.4%
<	72750	3.1%
>	72750	3.1%
'	54400	2.3%
-	23747	1.0%
"	19765	0.8%
Other values (34)	87944	3.8%

Latin

Value	Count	Frequency (%)
e	790835	11.0%
o	690489	9.6%
t	591714	8.3%
a	575229	8.0%
n	527024	7.4%
i	507084	7.1%
r	448017	6.3%
s	378326	5.3%
l	299302	4.2%
u	298149	4.2%
Other values (16)	2056674	28.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9504521	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1531856	16.1%
e	790835	8.3%
o	690489	7.3%
t	591714	6.2%
a	575229	6.1%
n	527024	5.5%
i	507084	5.3%
r	448017	4.7%
s	378326	4.0%
l	299302	3.1%
Other values (60)	3164645	33.3%

ethnicity
Text

MISSING

Distinct	217
Distinct (%)	0.4%
Missing	5680
Missing (%)	9.5%
Memory size	468.5 KiB

Length

Max length	103
Median length	5
Mean length	7.9898832
Min length	5

Characters and Unicode

Total characters	433579
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	0.1%

Sample

1st row	asian, white
2nd row	white
3rd row	white
4th row	asian, black, other
5th row	white

Value	Count	Frequency (%)
white	37882	48.6%
asian	8205	10.5%
hispanic	5357	6.9%
	5357	6.9%
latin	5357	6.9%
other	3567	4.6%
black	3328	4.3%
pacific	1473	1.9%
islander	1473	1.9%
indian	1449	1.9%
Other values (4)	4430	5.7%

Most occurring characters

Value	Count	Frequency (%)
i	72955	16.8%
t	49021	11.3%
e	48302	11.1%
h	46806	10.8%
a	39592	9.1%
w	37882	8.7%
n	26770	6.2%
	23612	5.4%
s	15985	3.7%
c	12896	3.0%
Other values (12)	59758	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	395400	91.2%
Space Separator	23612	5.4%
Other Punctuation	14567	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	72955	18.5%
t	49021	12.4%
e	48302	12.2%
h	46806	11.8%
a	39592	10.0%
w	37882	9.6%
n	26770	6.8%
s	15985	4.0%
c	12896	3.3%
l	11108	2.8%
Other values (9)	34083	8.6%

Other Punctuation

Value	Count	Frequency (%)
,	9210	63.2%
/	5357	36.8%

Space Separator

Value	Count	Frequency (%)
	23612	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	395400	91.2%
Common	38179	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	72955	18.5%
t	49021	12.4%
e	48302	12.2%
h	46806	11.8%
a	39592	10.0%
w	37882	9.6%
n	26770	6.8%
s	15985	4.0%
c	12896	3.3%
l	11108	2.8%
Other values (9)	34083	8.6%

Common

Value	Count	Frequency (%)
	23612	61.8%
,	9210	24.1%
/	5357	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	433579	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	72955	16.8%
t	49021	11.3%
e	48302	11.1%
h	46806	10.8%
a	39592	9.1%
w	37882	8.7%
n	26770	6.2%
	23612	5.4%
s	15985	3.7%
c	12896	3.0%
Other values (12)	59758	13.8%

height
Real number (ℝ)

HIGH CORRELATION

Distinct	60
Distinct (%)	0.1%
Missing	3
Missing (%)	< 0.1%
Infinite	0
Infinite (%)	0.0%
Mean	68.295281

Minimum	1
Maximum	95
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	468.5 KiB

Quantile statistics

Minimum	1
5-th percentile	62
Q1	66
median	68
Q3	71
95-th percentile	74
Maximum	95
Range	94
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.9948031
Coefficient of variation (CV)	0.058493107
Kurtosis	7.7610624
Mean	68.295281
Median Absolute Deviation (MAD)	3
Skewness	-0.46306088
Sum	4093824
Variance	15.958452
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70	6074	10.1%
68	5449	9.1%
67	5354	8.9%
72	5315	8.9%
69	5179	8.6%
71	4826	8.1%
66	4759	7.9%
64	3865	6.4%
65	3794	6.3%
73	2815	4.7%
Other values (50)	12513	20.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	< 0.1%
3	1	< 0.1%
4	1	< 0.1%
6	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
26	1	< 0.1%
36	11	< 0.1%
37	2	< 0.1%
42	1	< 0.1%

Value	Count	Frequency (%)
95	20	< 0.1%
94	3	< 0.1%
93	1	< 0.1%
92	1	< 0.1%
91	3	< 0.1%
90	1	< 0.1%
89	1	< 0.1%
88	2	< 0.1%
87	1	< 0.1%
86	1	< 0.1%

income
Real number (ℝ)

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20033.223

Minimum	-1
Maximum	1000000
Zeros	0
Zeros (%)	0.0%
Negative	48442
Negative (%)	80.8%
Memory size	468.5 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	-1
median	-1
Q3	-1
95-th percentile	80000
Maximum	1000000
Range	1000001
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	97346.192
Coefficient of variation (CV)	4.8592378
Kurtosis	86.870163
Mean	20033.223
Median Absolute Deviation (MAD)	0
Skewness	9.036157
Sum	1.2009116 × 10⁹
Variance	9.4762811 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
-1	48442	80.8%
20000	2952	4.9%
100000	1621	2.7%
80000	1111	1.9%
30000	1048	1.7%
40000	1005	1.7%
50000	975	1.6%
60000	736	1.2%
70000	707	1.2%
150000	631	1.1%
Other values (3)	718	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	48442	80.8%
20000	2952	4.9%
30000	1048	1.7%
40000	1005	1.7%
50000	975	1.6%
60000	736	1.2%
70000	707	1.2%
80000	1111	1.9%
100000	1621	2.7%
150000	631	1.1%

Value	Count	Frequency (%)
1000000	521	0.9%
500000	48	0.1%
250000	149	0.2%
150000	631	1.1%
100000	1621	2.7%
80000	1111	1.9%
70000	707	1.2%
60000	736	1.2%
50000	975	1.6%
40000	1005	1.7%

job
Categorical

MISSING

Distinct	21
Distinct (%)	< 0.1%
Missing	8198
Missing (%)	13.7%
Memory size	468.5 KiB

other	7589
student	4882
science / tech / engineering	4848
computer / hardware / software	4709
artistic / musical / writer	4439
Other values (16)	25281

Length

Max length	33
Median length	27
Mean length	19.92591
Min length	5

Characters and Unicode

Total characters	1031126
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	transportation
2nd row	hospitality / travel
3rd row	student
4th row	artistic / musical / writer
5th row	computer / hardware / software

Common Values

Value	Count	Frequency (%)
other	7589	12.7%
student	4882	8.1%
science / tech / engineering	4848	8.1%
computer / hardware / software	4709	7.9%
artistic / musical / writer	4439	7.4%
sales / marketing / biz dev	4391	7.3%
medicine / health	3680	6.1%
education / academia	3513	5.9%
executive / management	2373	4.0%
banking / financial / real estate	2266	3.8%
Other values (11)	9058	15.1%
(Missing)	8198	13.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	58401	32.9%
other	7589	4.3%
student	4882	2.8%
science	4848	2.7%
engineering	4848	2.7%
tech	4848	2.7%
computer	4709	2.7%
hardware	4709	2.7%
software	4709	2.7%
artistic	4439	2.5%
Other values (36)	73478	41.4%

Most occurring characters

Value	Count	Frequency (%)
e	129042	12.5%
	125712	12.2%
t	85153	8.3%
a	82558	8.0%
i	80950	7.9%
n	63143	6.1%
r	62910	6.1%
/	58401	5.7%
c	50238	4.9%
s	43161	4.2%
Other values (16)	249858	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	847013	82.1%
Space Separator	125712	12.2%
Other Punctuation	58401	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	129042	15.2%
t	85153	10.1%
a	82558	9.7%
i	80950	9.6%
n	63143	7.5%
r	62910	7.4%
c	50238	5.9%
s	43161	5.1%
m	32989	3.9%
d	28266	3.3%
Other values (14)	188603	22.3%

Space Separator

Value	Count	Frequency (%)
	125712	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	58401	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	847013	82.1%
Common	184113	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	129042	15.2%
t	85153	10.1%
a	82558	9.7%
i	80950	9.6%
n	63143	7.5%
r	62910	7.4%
c	50238	5.9%
s	43161	5.1%
m	32989	3.9%
d	28266	3.3%
Other values (14)	188603	22.3%

Common

Value	Count	Frequency (%)
	125712	68.3%
/	58401	31.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1031126	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	129042	12.5%
	125712	12.2%
t	85153	8.3%
a	82558	8.0%
i	80950	7.9%
n	63143	6.1%
r	62910	6.1%
/	58401	5.7%
c	50238	4.9%
s	43161	4.2%
Other values (16)	249858	24.2%

last_online
Text

Distinct	30123
Distinct (%)	50.3%
Missing	0
Missing (%)	0.0%
Memory size	468.5 KiB

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	959136
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22583 ?
Unique (%)	37.7%

Sample

1st row	2012-06-28-20-30
2nd row	2012-06-29-21-41
3rd row	2012-06-27-09-10
4th row	2012-06-28-14-22
5th row	2012-06-27-21-26

Value	Count	Frequency (%)
2012-06-29-22-56	24	< 0.1%
2012-06-30-22-09	23	< 0.1%
2012-06-30-22-56	23	< 0.1%
2012-06-30-23-27	23	< 0.1%
2012-06-30-21-51	23	< 0.1%
2012-06-30-23-55	22	< 0.1%
2012-06-30-22-53	22	< 0.1%
2012-06-30-22-57	22	< 0.1%
2012-06-30-10-15	22	< 0.1%
2012-06-30-22-50	22	< 0.1%
Other values (30113)	59720	99.6%

Most occurring characters

Value	Count	Frequency (%)
-	239784	25.0%
2	190191	19.8%
0	183476	19.1%
1	135530	14.1%
6	56174	5.9%
3	42790	4.5%
5	26674	2.8%
4	24696	2.6%
9	23482	2.4%
7	18196	1.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	719352	75.0%
Dash Punctuation	239784	25.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	190191	26.4%
0	183476	25.5%
1	135530	18.8%
6	56174	7.8%
3	42790	5.9%
5	26674	3.7%
4	24696	3.4%
9	23482	3.3%
7	18196	2.5%
8	18143	2.5%

Dash Punctuation

Value	Count	Frequency (%)
-	239784	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	959136	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
-	239784	25.0%
2	190191	19.8%
0	183476	19.1%
1	135530	14.1%
6	56174	5.9%
3	42790	4.5%
5	26674	2.8%
4	24696	2.6%
9	23482	2.4%
7	18196	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	959136	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
-	239784	25.0%
2	190191	19.8%
0	183476	19.1%
1	135530	14.1%
6	56174	5.9%
3	42790	4.5%
5	26674	2.8%
4	24696	2.6%
9	23482	2.4%
7	18196	1.9%

location
Text

Distinct	199
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	468.5 KiB

Length

Max length	35
Median length	25
Mean length	22.909452
Min length	12

Characters and Unicode

Total characters	1373330
Distinct characters	28
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	96 ?
Unique (%)	0.2%

Sample

1st row	south san francisco, california
2nd row	oakland, california
3rd row	san francisco, california
4th row	berkeley, california
5th row	san francisco, california

Value	Count	Frequency (%)
california	59855	37.0%
san	35282	21.8%
francisco	31480	19.5%
oakland	7221	4.5%
berkeley	4212	2.6%
city	1405	0.9%
mateo	1331	0.8%
palo	1077	0.7%
alto	1077	0.7%
alameda	910	0.6%
Other values (258)	17776	11.0%

Most occurring characters

Value	Count	Frequency (%)
a	221097	16.1%
i	158261	11.5%
n	140868	10.3%
c	127418	9.3%
o	111090	8.1%
r	105139	7.7%
	101680	7.4%
f	93421	6.8%
l	86542	6.3%
s	69620	5.1%
Other values (18)	158194	11.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1211703	88.2%
Space Separator	101680	7.4%
Other Punctuation	59947	4.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	221097	18.2%
i	158261	13.1%
n	140868	11.6%
c	127418	10.5%
o	111090	9.2%
r	105139	8.7%
f	93421	7.7%
l	86542	7.1%
s	69620	5.7%
e	27355	2.3%
Other values (16)	70892	5.9%

Space Separator

Value	Count	Frequency (%)
	101680	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	59947	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1211703	88.2%
Common	161627	11.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	221097	18.2%
i	158261	13.1%
n	140868	11.6%
c	127418	10.5%
o	111090	9.2%
r	105139	8.7%
f	93421	7.7%
l	86542	7.1%
s	69620	5.7%
e	27355	2.3%
Other values (16)	70892	5.9%

Common

Value	Count	Frequency (%)
	101680	62.9%
,	59947	37.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1373330	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	221097	16.1%
i	158261	11.5%
n	140868	10.3%
c	127418	9.3%
o	111090	8.1%
r	105139	7.7%
	101680	7.4%
f	93421	6.8%
l	86542	6.3%
s	69620	5.1%
Other values (18)	158194	11.5%

offspring
Categorical

MISSING

Distinct	15
Distinct (%)	0.1%
Missing	35561
Missing (%)	59.3%
Memory size	468.5 KiB

doesn’t have kids	7560
doesn’t have kids, but might want them	3875
doesn’t have kids, but wants them	3565
doesn’t want kids	2927
has kids	1883
Other values (10)	4575

Length

Max length	51
Median length	44
Mean length	28.082387
Min length	8

Characters and Unicode

Total characters	684789
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	doesn’t have kids, but might want them
2nd row	doesn’t have kids, but might want them
3rd row	doesn’t want kids
4th row	doesn’t have kids, but might want them
5th row	doesn’t have kids, but wants them

Common Values

Value	Count	Frequency (%)
doesn’t have kids	7560	12.6%
doesn’t have kids, but might want them	3875	6.5%
doesn’t have kids, but wants them	3565	5.9%
doesn’t want kids	2927	4.9%
has kids	1883	3.1%
has a kid	1881	3.1%
doesn’t have kids, and doesn’t want any	1132	1.9%
has kids, but doesn’t want more	442	0.7%
has a kid, but doesn’t want more	275	0.5%
has a kid, and might want more	231	0.4%
Other values (5)	614	1.0%
(Missing)	35561	59.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
kids	21927	20.7%
doesn’t	20908	19.8%
have	16132	15.3%
want	9179	8.7%
but	8157	7.7%
them	7440	7.0%
has	4919	4.7%
might	4403	4.2%
wants	3882	3.7%
a	2458	2.3%
Other values (4)	6315	6.0%

Most occurring characters

Value	Count	Frequency (%)
	81335	11.9%
s	72544	10.6%
t	53969	7.9%
d	46863	6.8%
e	45635	6.7%
o	42971	6.3%
a	39272	5.7%
n	36671	5.4%
h	32894	4.8%
u	29065	4.2%
Other values (13)	203570	29.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	551911	80.6%
Space Separator	81335	11.9%
Other Punctuation	51543	7.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	72544	13.1%
t	53969	9.8%
d	46863	8.5%
e	45635	8.3%
o	42971	7.8%
a	39272	7.1%
n	36671	6.6%
h	32894	6.0%
u	29065	5.3%
i	28788	5.2%
Other values (9)	123239	22.3%

Other Punctuation

Value	Count	Frequency (%)
;	20908	40.6%
&	20908	40.6%
,	9727	18.9%

Space Separator

Value	Count	Frequency (%)
	81335	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	551911	80.6%
Common	132878	19.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	72544	13.1%
t	53969	9.8%
d	46863	8.5%
e	45635	8.3%
o	42971	7.8%
a	39272	7.1%
n	36671	6.6%
h	32894	6.0%
u	29065	5.3%
i	28788	5.2%
Other values (9)	123239	22.3%

Common

Value	Count	Frequency (%)
	81335	61.2%
;	20908	15.7%
&	20908	15.7%
,	9727	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	684789	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	81335	11.9%
s	72544	10.6%
t	53969	7.9%
d	46863	6.8%
e	45635	6.7%
o	42971	6.3%
a	39272	5.7%
n	36671	5.4%
h	32894	4.8%
u	29065	4.2%
Other values (13)	203570	29.7%

orientation
Categorical

IMBALANCE

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	468.5 KiB

straight	51606
gay	5573
bisexual	2767

Length

Max length	8
Median length	8
Mean length	7.535165
Min length	3

Characters and Unicode

Total characters	451703
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	straight
2nd row	straight
3rd row	straight
4th row	straight
5th row	straight

Common Values

Value	Count	Frequency (%)
straight	51606	86.1%
gay	5573	9.3%
bisexual	2767	4.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
straight	51606	86.1%
gay	5573	9.3%
bisexual	2767	4.6%

Most occurring characters

Value	Count	Frequency (%)
t	103212	22.8%
a	59946	13.3%
g	57179	12.7%
s	54373	12.0%
i	54373	12.0%
r	51606	11.4%
h	51606	11.4%
y	5573	1.2%
b	2767	0.6%
e	2767	0.6%
Other values (3)	8301	1.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	451703	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	103212	22.8%
a	59946	13.3%
g	57179	12.7%
s	54373	12.0%
i	54373	12.0%
r	51606	11.4%
h	51606	11.4%
y	5573	1.2%
b	2767	0.6%
e	2767	0.6%
Other values (3)	8301	1.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	451703	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	103212	22.8%
a	59946	13.3%
g	57179	12.7%
s	54373	12.0%
i	54373	12.0%
r	51606	11.4%
h	51606	11.4%
y	5573	1.2%
b	2767	0.6%
e	2767	0.6%
Other values (3)	8301	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	451703	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	103212	22.8%
a	59946	13.3%
g	57179	12.7%
s	54373	12.0%
i	54373	12.0%
r	51606	11.4%
h	51606	11.4%
y	5573	1.2%
b	2767	0.6%
e	2767	0.6%
Other values (3)	8301	1.8%

pets
Categorical

MISSING

Distinct	15
Distinct (%)	< 0.1%
Missing	19921
Missing (%)	33.2%
Memory size	468.5 KiB

likes dogs and likes cats	14814
likes dogs	7224
likes dogs and has cats	4313
has dogs	4134
has dogs and likes cats	2333
Other values (10)	7207

Length

Max length	31
Median length	28
Mean length	19.227383
Min length	8

Characters and Unicode

Total characters	769576
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	likes dogs and likes cats
2nd row	likes dogs and likes cats
3rd row	has cats
4th row	likes cats
5th row	likes dogs and likes cats

Common Values

Value	Count	Frequency (%)
likes dogs and likes cats	14814	24.7%
likes dogs	7224	12.1%
likes dogs and has cats	4313	7.2%
has dogs	4134	6.9%
has dogs and likes cats	2333	3.9%
likes dogs and dislikes cats	2029	3.4%
has dogs and has cats	1474	2.5%
has cats	1406	2.3%
likes cats	1063	1.8%
has dogs and dislikes cats	552	0.9%
Other values (5)	683	1.1%
(Missing)	19921	33.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
likes	46830	29.6%
dogs	37434	23.7%
cats	28623	18.1%
and	26032	16.5%
has	15767	10.0%
dislikes	3460	2.2%

Most occurring characters

Value	Count	Frequency (%)
s	135574	17.6%
	118121	15.3%
a	70422	9.2%
d	66926	8.7%
i	53750	7.0%
l	50290	6.5%
k	50290	6.5%
e	50290	6.5%
o	37434	4.9%
g	37434	4.9%
Other values (4)	99045	12.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	651455	84.7%
Space Separator	118121	15.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	135574	20.8%
a	70422	10.8%
d	66926	10.3%
i	53750	8.3%
l	50290	7.7%
k	50290	7.7%
e	50290	7.7%
o	37434	5.7%
g	37434	5.7%
c	28623	4.4%
Other values (3)	70422	10.8%

Space Separator

Value	Count	Frequency (%)
	118121	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	651455	84.7%
Common	118121	15.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	135574	20.8%
a	70422	10.8%
d	66926	10.3%
i	53750	8.3%
l	50290	7.7%
k	50290	7.7%
e	50290	7.7%
o	37434	5.7%
g	37434	5.7%
c	28623	4.4%
Other values (3)	70422	10.8%

Common

Value	Count	Frequency (%)
	118121	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	769576	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	135574	17.6%
	118121	15.3%
a	70422	9.2%
d	66926	8.7%
i	53750	7.0%
l	50290	6.5%
k	50290	6.5%
e	50290	6.5%
o	37434	4.9%
g	37434	4.9%
Other values (4)	99045	12.9%

religion
Categorical

MISSING

Distinct	45
Distinct (%)	0.1%
Missing	20226
Missing (%)	33.7%
Memory size	468.5 KiB

agnosticism	2724
other	2691
agnosticism but not too serious about it	2636
agnosticism and laughing about it	2496
catholicism but not too serious about it	2318
Other values (40)	26855

Length

Max length	42
Median length	36
Mean length	27.518202
Min length	5

Characters and Unicode

Total characters	1093023
Distinct characters	21
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	agnosticism and very serious about it
2nd row	agnosticism but not too serious about it
3rd row	atheism
4th row	christianity
5th row	christianity but not too serious about it

Common Values

Value	Count	Frequency (%)
agnosticism	2724	4.5%
other	2691	4.5%
agnosticism but not too serious about it	2636	4.4%
agnosticism and laughing about it	2496	4.2%
catholicism but not too serious about it	2318	3.9%
atheism	2175	3.6%
other and laughing about it	2119	3.5%
atheism and laughing about it	2074	3.5%
christianity	1957	3.3%
christianity but not too serious about it	1952	3.3%
Other values (35)	16578	27.7%
(Missing)	20226	33.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
about	27939	15.3%
it	27939	15.3%
serious	18944	10.4%
and	15727	8.6%
but	12212	6.7%
not	12212	6.7%
too	12212	6.7%
laughing	8995	4.9%
agnosticism	8812	4.8%
other	7743	4.2%
Other values (9)	29897	16.4%

Most occurring characters

Value	Count	Frequency (%)
	142912	13.1%
t	136902	12.5%
i	113449	10.4%
o	109348	10.0%
a	86756	7.9%
s	83193	7.6%
u	73586	6.7%
n	51983	4.8%
b	42099	3.9%
h	41182	3.8%
Other values (11)	211613	19.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	950111	86.9%
Space Separator	142912	13.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	136902	14.4%
i	113449	11.9%
o	109348	11.5%
a	86756	9.1%
s	83193	8.8%
u	73586	7.7%
n	51983	5.5%
b	42099	4.4%
h	41182	4.3%
e	40404	4.3%
Other values (10)	171209	18.0%

Space Separator

Value	Count	Frequency (%)
	142912	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	950111	86.9%
Common	142912	13.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	136902	14.4%
i	113449	11.9%
o	109348	11.5%
a	86756	9.1%
s	83193	8.8%
u	73586	7.7%
n	51983	5.5%
b	42099	4.4%
h	41182	4.3%
e	40404	4.3%
Other values (10)	171209	18.0%

Common

Value	Count	Frequency (%)
	142912	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1093023	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	142912	13.1%
t	136902	12.5%
i	113449	10.4%
o	109348	10.0%
a	86756	7.9%
s	83193	7.6%
u	73586	6.7%
n	51983	4.8%
b	42099	3.9%
h	41182	3.8%
Other values (11)	211613	19.4%

sex
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	468.5 KiB

m	35829
f	24117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	59946
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	m
2nd row	m
3rd row	m
4th row	m
5th row	m

Common Values

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

Most occurring characters

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	59946	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	59946	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	59946	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	35829	59.8%
f	24117	40.2%

sign
Categorical

MISSING

Distinct	48
Distinct (%)	0.1%
Missing	11056
Missing (%)	18.4%
Memory size	468.5 KiB

gemini and it’s fun to think about	1782
scorpio and it’s fun to think about	1772
leo and it’s fun to think about	1692
libra and it’s fun to think about	1649
taurus and it’s fun to think about	1640
Other values (43)	40355

Length

Max length	45
Median length	40
Mean length	29.6793
Min length	3

Characters and Unicode

Total characters	1451021
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	gemini
2nd row	cancer
3rd row	pisces but it doesn’t matter
4th row	pisces
5th row	aquarius

Common Values

Value	Count	Frequency (%)
gemini and it’s fun to think about	1782	3.0%
scorpio and it’s fun to think about	1772	3.0%
leo and it’s fun to think about	1692	2.8%
libra and it’s fun to think about	1649	2.8%
taurus and it’s fun to think about	1640	2.7%
cancer and it’s fun to think about	1597	2.7%
pisces and it’s fun to think about	1592	2.7%
sagittarius and it’s fun to think about	1583	2.6%
virgo and it’s fun to think about	1574	2.6%
aries and it’s fun to think about	1573	2.6%
Other values (38)	32436	54.1%
(Missing)	11056	18.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	20008	8.5%
it’s	19333	8.2%
fun	19333	8.2%
to	19333	8.2%
think	19333	8.2%
about	19333	8.2%
it	17433	7.4%
but	16758	7.1%
doesn’t	16758	7.1%
matter	16758	7.1%
Other values (15)	50915	21.6%

Most occurring characters

Value	Count	Frequency (%)
	186405	12.8%
t	175846	12.1%
o	112546	7.8%
u	111593	7.7%
s	104824	7.2%
i	100521	6.9%
r	93357	6.4%
a	93304	6.4%
n	87521	6.0%
e	55016	3.8%
Other values (14)	330088	22.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1192434	82.2%
Space Separator	186405	12.8%
Other Punctuation	72182	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	175846	14.7%
o	112546	9.4%
u	111593	9.4%
s	104824	8.8%
i	100521	8.4%
r	93357	7.8%
a	93304	7.8%
n	87521	7.3%
e	55016	4.6%
b	40298	3.4%
Other values (11)	217608	18.2%

Other Punctuation

Value	Count	Frequency (%)
&	36091	50.0%
;	36091	50.0%

Space Separator

Value	Count	Frequency (%)
	186405	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1192434	82.2%
Common	258587	17.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	175846	14.7%
o	112546	9.4%
u	111593	9.4%
s	104824	8.8%
i	100521	8.4%
r	93357	7.8%
a	93304	7.8%
n	87521	7.3%
e	55016	4.6%
b	40298	3.4%
Other values (11)	217608	18.2%

Common

Value	Count	Frequency (%)
	186405	72.1%
&	36091	14.0%
;	36091	14.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1451021	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	186405	12.8%
t	175846	12.1%
o	112546	7.8%
u	111593	7.7%
s	104824	7.2%
i	100521	6.9%
r	93357	6.4%
a	93304	6.4%
n	87521	6.0%
e	55016	3.8%
Other values (14)	330088	22.7%

smokes
Categorical

IMBALANCE MISSING

Distinct	5
Distinct (%)	< 0.1%
Missing	5512
Missing (%)	9.2%
Memory size	468.5 KiB

no	43896
sometimes	3787
when drinking	3040
yes	2231
trying to quit	1480

Length

Max length	14
Median length	2
Mean length	3.4685674
Min length	2

Characters and Unicode

Total characters	188808
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	sometimes
2nd row	no
3rd row	no
4th row	no
5th row	no

Common Values

Value	Count	Frequency (%)
no	43896	73.2%
sometimes	3787	6.3%
when drinking	3040	5.1%
yes	2231	3.7%
trying to quit	1480	2.5%
(Missing)	5512	9.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
no	43896	72.6%
sometimes	3787	6.3%
when	3040	5.0%
drinking	3040	5.0%
yes	2231	3.7%
trying	1480	2.4%
to	1480	2.4%
quit	1480	2.4%

Most occurring characters

Value	Count	Frequency (%)
n	54496	28.9%
o	49163	26.0%
e	12845	6.8%
i	12827	6.8%
s	9805	5.2%
t	8227	4.4%
m	7574	4.0%
	6000	3.2%
g	4520	2.4%
r	4520	2.4%
Other values (7)	18831	10.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	182808	96.8%
Space Separator	6000	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	54496	29.8%
o	49163	26.9%
e	12845	7.0%
i	12827	7.0%
s	9805	5.4%
t	8227	4.5%
m	7574	4.1%
g	4520	2.5%
r	4520	2.5%
y	3711	2.0%
Other values (6)	15120	8.3%

Space Separator

Value	Count	Frequency (%)
	6000	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	182808	96.8%
Common	6000	3.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	54496	29.8%
o	49163	26.9%
e	12845	7.0%
i	12827	7.0%
s	9805	5.4%
t	8227	4.5%
m	7574	4.1%
g	4520	2.5%
r	4520	2.5%
y	3711	2.0%
Other values (6)	15120	8.3%

Common

Value	Count	Frequency (%)
	6000	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	188808	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	54496	28.9%
o	49163	26.0%
e	12845	6.8%
i	12827	6.8%
s	9805	5.2%
t	8227	4.4%
m	7574	4.0%
	6000	3.2%
g	4520	2.4%
r	4520	2.4%
Other values (7)	18831	10.0%

speaks
Text

Distinct	7647
Distinct (%)	12.8%
Missing	50
Missing (%)	0.1%
Memory size	468.5 KiB

Length

Max length	107
Median length	102
Mean length	26.552391
Min length	7

Characters and Unicode

Total characters	1590382
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5993 ?
Unique (%)	10.0%

Sample

1st row	english
2nd row	english (fluently), spanish (poorly), french (poorly)
3rd row	english, french, c++
4th row	english, german (poorly)
5th row	english

Value	Count	Frequency (%)
english	60350	32.2%
fluently	39086	20.8%
poorly	20538	11.0%
spanish	16315	8.7%
okay	16001	8.5%
french	7852	4.2%
chinese	3663	2.0%
german	3083	1.6%
japanese	2188	1.2%
italian	2181	1.2%
Other values (71)	16270	8.7%

Most occurring characters

Value	Count	Frequency (%)
l	164572	10.3%
n	142760	9.0%
e	131713	8.3%
	127631	8.0%
s	106734	6.7%
i	94550	5.9%
h	92825	5.8%
y	75881	4.8%
)	75625	4.8%
(	75625	4.8%
Other values (20)	502466	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1256961	79.0%
Space Separator	127631	8.0%
Close Punctuation	75625	4.8%
Open Punctuation	75625	4.8%
Other Punctuation	50994	3.2%
Math Symbol	3546	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	164572	13.1%
n	142760	11.4%
e	131713	10.5%
s	106734	8.5%
i	94550	7.5%
h	92825	7.4%
y	75881	6.0%
g	69327	5.5%
o	61343	4.9%
a	55122	4.4%
Other values (15)	262134	20.9%

Space Separator

Value	Count	Frequency (%)
	127631	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	75625	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	75625	100.0%

Other Punctuation

Value	Count	Frequency (%)
,	50994	100.0%

Math Symbol

Value	Count	Frequency (%)
+	3546	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1256961	79.0%
Common	333421	21.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	164572	13.1%
n	142760	11.4%
e	131713	10.5%
s	106734	8.5%
i	94550	7.5%
h	92825	7.4%
y	75881	6.0%
g	69327	5.5%
o	61343	4.9%
a	55122	4.4%
Other values (15)	262134	20.9%

Common

Value	Count	Frequency (%)
	127631	38.3%
)	75625	22.7%
(	75625	22.7%
,	50994	15.3%
+	3546	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1590382	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	164572	10.3%
n	142760	9.0%
e	131713	8.3%
	127631	8.0%
s	106734	6.7%
i	94550	5.9%
h	92825	5.8%
y	75881	4.8%
)	75625	4.8%
(	75625	4.8%
Other values (20)	502466	31.6%

status
Categorical

IMBALANCE

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	468.5 KiB

single	55697
seeing someone	2064
available	1865
married	310
unknown	10

Length

Max length	14
Median length	6
Mean length	6.37412
Min length	6

Characters and Unicode

Total characters	382103
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	single
2nd row	single
3rd row	available
4th row	single
5th row	single

Common Values

Value	Count	Frequency (%)
single	55697	92.9%
seeing someone	2064	3.4%
available	1865	3.1%
married	310	0.5%
unknown	10	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	55697	89.8%
seeing	2064	3.3%
someone	2064	3.3%
available	1865	3.0%
married	310	0.5%
unknown	10	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	66128	17.3%
i	59936	15.7%
n	59855	15.7%
s	59825	15.7%
l	59427	15.6%
g	57761	15.1%
a	5905	1.5%
o	4138	1.1%
m	2374	0.6%
	2064	0.5%
Other values (7)	4690	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	380039	99.5%
Space Separator	2064	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	66128	17.4%
i	59936	15.8%
n	59855	15.7%
s	59825	15.7%
l	59427	15.6%
g	57761	15.2%
a	5905	1.6%
o	4138	1.1%
m	2374	0.6%
v	1865	0.5%
Other values (6)	2825	0.7%

Space Separator

Value	Count	Frequency (%)
	2064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	380039	99.5%
Common	2064	0.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	66128	17.4%
i	59936	15.8%
n	59855	15.7%
s	59825	15.7%
l	59427	15.6%
g	57761	15.2%
a	5905	1.6%
o	4138	1.1%
m	2374	0.6%
v	1865	0.5%
Other values (6)	2825	0.7%

Common

Value	Count	Frequency (%)
	2064	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	382103	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	66128	17.3%
i	59936	15.7%
n	59855	15.7%
s	59825	15.7%
l	59427	15.6%
g	57761	15.1%
a	5905	1.5%
o	4138	1.1%
m	2374	0.6%
	2064	0.5%
Other values (7)	4690	1.2%

Auto

Heatmap
Table

	age	height	income	body_type	diet	drinks	drugs	education	job	offspring	orientation	pets	religion	sex	sign	smokes	status
age	1.000	-0.009	0.021	0.057	0.051	0.064	0.103	0.175	0.165	0.249	0.054	0.071	0.090	0.052	0.027	0.085	0.041
height	-0.009	1.000	0.109	0.107	0.038	0.033	0.063	0.039	0.076	0.032	0.063	0.046	0.062	0.638	0.046	0.020	0.013
income	0.021	0.109	1.000	0.063	0.053	0.041	0.067	0.079	0.100	0.049	0.039	0.026	0.045	0.116	0.038	0.030	0.008
body_type	0.057	0.107	0.063	1.000	0.048	0.087	0.087	0.075	0.074	0.052	0.108	0.057	0.059	0.405	0.044	0.074	0.044
diet	0.051	0.038	0.053	0.048	1.000	0.096	0.108	0.051	0.043	0.054	0.091	0.051	0.165	0.152	0.050	0.037	0.040
drinks	0.064	0.033	0.041	0.087	0.096	1.000	0.208	0.079	0.064	0.088	0.038	0.058	0.108	0.034	0.047	0.116	0.026
drugs	0.103	0.063	0.067	0.087	0.108	0.208	1.000	0.154	0.133	0.148	0.112	0.098	0.198	0.057	0.083	0.265	0.092
education	0.175	0.039	0.079	0.075	0.051	0.079	0.154	1.000	0.225	0.070	0.075	0.056	0.058	0.118	0.032	0.146	0.047
job	0.165	0.076	0.100	0.074	0.043	0.064	0.133	0.225	1.000	0.070	0.097	0.057	0.072	0.303	0.036	0.097	0.047
offspring	0.249	0.032	0.049	0.052	0.054	0.088	0.148	0.070	0.070	1.000	0.181	0.075	0.102	0.119	0.052	0.065	0.106
orientation	0.054	0.063	0.039	0.108	0.091	0.038	0.112	0.075	0.097	0.181	1.000	0.076	0.104	0.158	0.065	0.062	0.145
pets	0.071	0.046	0.026	0.057	0.051	0.058	0.098	0.056	0.057	0.075	0.076	1.000	0.087	0.187	0.048	0.053	0.062
religion	0.090	0.062	0.045	0.059	0.165	0.108	0.198	0.058	0.072	0.102	0.104	0.087	1.000	0.165	0.078	0.072	0.074
sex	0.052	0.638	0.116	0.405	0.152	0.034	0.057	0.118	0.303	0.119	0.158	0.187	0.165	1.000	0.139	0.046	0.036
sign	0.027	0.046	0.038	0.044	0.050	0.047	0.083	0.032	0.036	0.052	0.065	0.048	0.078	0.139	1.000	0.047	0.030
smokes	0.085	0.020	0.030	0.074	0.037	0.116	0.265	0.146	0.097	0.065	0.062	0.053	0.072	0.046	0.047	1.000	0.009
status	0.041	0.013	0.008	0.044	0.040	0.026	0.092	0.047	0.047	0.106	0.145	0.062	0.074	0.036	0.030	0.009	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	age	body_type	diet	drinks	drugs	education	essay0	essay1	essay2	essay3	essay4	essay5	essay6	essay7	essay8	essay9	ethnicity	height	income	job	last_online	location	offspring	orientation	pets	religion	sex	sign	smokes	speaks	status
0	22	a little extra	strictly anything	socially	never	working on college/university	about me:<br />\n<br />\ni would love to think that i was some some kind of intellectual:\neither the dumbest smart guy, or the smartest dumb guy. can't say i\ncan tell the difference. i love to talk about ideas and concepts. i\nforge odd metaphors instead of reciting cliches. like the\nsimularities between a friend of mine's house and an underwater\nsalt mine. my favorite word is salt by the way (weird choice i\nknow). to me most things in life are better as metaphors. i seek to\nmake myself a little better everyday, in some productively lazy\nway. got tired of tying my shoes. considered hiring a five year\nold, but would probably have to tie both of our shoes... decided to\nonly wear leather shoes dress shoes.<br />\n<br />\nabout you:<br />\n<br />\nyou love to have really serious, really deep conversations about\nreally silly stuff. you have to be willing to snap me out of a\nlight hearted rant with a kiss. you don't have to be funny, but you\nhave to be able to make me laugh. you should be able to bend spoons\nwith your mind, and telepathically make me smile while i am still\nat work. you should love life, and be cool with just letting the\nwind blow. extra points for reading all this and guessing my\nfavorite video game (no hints given yet). and lastly you have a\ngood attention span.	currently working as an international agent for a freight\nforwarding company. import, export, domestic you know the\nworks.<br />\nonline classes and trying to better myself in my free time. perhaps\na hours worth of a good book or a video game on a lazy sunday.	making people laugh.<br />\nranting about a good salting.<br />\nfinding simplicity in complexity, and complexity in simplicity.	the way i look. i am a six foot half asian, half caucasian mutt. it\nmakes it tough not to notice me, and for me to blend in.	books:<br />\nabsurdistan, the republic, of mice and men (only book that made me\nwant to cry), catcher in the rye, the prince.<br />\n<br />\nmovies:<br />\ngladiator, operation valkyrie, the producers, down periscope.<br />\n<br />\nshows:<br />\nthe borgia, arrested development, game of thrones, monty\npython<br />\n<br />\nmusic:<br />\naesop rock, hail mary mallon, george thorogood and the delaware\ndestroyers, felt<br />\n<br />\nfood:<br />\ni'm down for anything.	food.<br />\nwater.<br />\ncell phone.<br />\nshelter.	duality and humorous things	trying to find someone to hang out with. i am down for anything\nexcept a club.	i am new to california and looking for someone to wisper my secrets\nto.	you want to be swept off your feet!<br />\nyou are tired of the norm.<br />\nyou want to catch a coffee or a bite.<br />\nor if you want to talk philosophy.	asian, white	75.0	-1	transportation	2012-06-28-20-30	south san francisco, california	doesn’t have kids, but might want them	straight	likes dogs and likes cats	agnosticism and very serious about it	m	gemini	sometimes	english	single
1	35	average	mostly other	often	sometimes	working on space camp	i am a chef: this is what that means.<br />\n1. i am a workaholic.<br />\n2. i love to cook regardless of whether i am at work.<br />\n3. i love to drink and eat foods that are probably really bad for\nme.<br />\n4. i love being around people that resemble line 1-3.<br />\ni love the outdoors and i am an avid skier. if its snowing i will\nbe in tahoe at the very least. i am a very confident and friendly.\ni'm not interested in acting or being a typical guy. i have no time\nor patience for rediculous acts of territorial pissing. overall i\nam a very likable easygoing individual. i am very adventurous and\nalways looking forward to doing new things and hopefully sharing it\nwith the right person.	dedicating everyday to being an unbelievable badass.	being silly. having ridiculous amonts of fun wherever. being a\nsmart ass. ohh and i can cook. ;)	NaN	i am die hard christopher moore fan. i don't really watch a lot of\ntv unless there is humor involved. i am kind of stuck on 90's\nalternative music. i am pretty much a fan of everything though... i\ndo need to draw a line at most types of electronica.	delicious porkness in all of its glories.<br />\nmy big ass doughboy's sinking into 15 new inches.<br />\nmy overly resilient liver.<br />\na good sharp knife.<br />\nmy ps3... it plays blurays too. ;)<br />\nmy over the top energy and my outlook on life... just give me a bag\nof lemons and see what happens. ;)	NaN	NaN	i am very open and will share just about anything.	NaN	white	70.0	80000	hospitality / travel	2012-06-29-21-41	oakland, california	doesn’t have kids, but might want them	straight	likes dogs and likes cats	agnosticism but not too serious about it	m	cancer	no	english (fluently), spanish (poorly), french (poorly)	single
2	38	thin	anything	socially	NaN	graduated from masters program	i'm not ashamed of much, but writing public text on an online\ndating site makes me pleasantly uncomfortable. i'll try to be as\nearnest as possible in the noble endeavor of standing naked before\nthe world.<br />\n<br />\ni've lived in san francisco for 15 years, and both love it and find\nmyself frustrated with its deficits. lots of great friends and\nacquaintances (which increases my apprehension to put anything on\nthis site), but i'm feeling like meeting some new people that\naren't just friends of friends. it's okay if you are a friend of a\nfriend too. chances are, if you make it through the complex\nfiltering process of multiple choice questions, lifestyle\nstatistics, photo scanning, and these indulgent blurbs of text\nwithout moving quickly on to another search result, you are\nprobably already a cultural peer and at most 2 people removed. at\nfirst, i thought i should say as little as possible here to avoid\nyou, but that seems silly.<br />\n<br />\nas far as culture goes, i'm definitely more on the weird side of\nthe spectrum, but i don't exactly wear it on my sleeve. once you\nget me talking, it will probably become increasingly apparent that\nwhile i'd like to think of myself as just like everybody else (and\nby some definition i certainly am), most people don't see me that\nway. that's fine with me. most of the people i find myself\ngravitating towards are pretty weird themselves. you probably are\ntoo.	i make nerdy software for musicians, artists, and experimenters to\nindulge in their own weirdness, but i like to spend time away from\nthe computer when working on my artwork (which is typically more\nconcerned with group dynamics and communication, than with visual\nform, objects, or technology). i also record and deejay dance,\nnoise, pop, and experimental music (most of which electronic or at\nleast studio based). besides these relatively ego driven\nactivities, i've been enjoying things like meditation and tai chi\nto try and gently flirt with ego death.	improvising in different contexts. alternating between being\npresent and decidedly outside of a moment, or trying to hold both\nat once. rambling intellectual conversations that hold said\nconversations in contempt while seeking to find something that\ntranscends them. being critical while remaining generous. listening\nto and using body language--often performed in caricature or large\ngestures, if not outright interpretive dance. dry, dark, and\nraunchy humor.	my large jaw and large glasses are the physical things people\ncomment on the most. when sufficiently stimulated, i have an\nunmistakable cackle of a laugh. after that, it goes in more\ndirections than i care to describe right now. maybe i'll come back\nto this.	okay this is where the cultural matrix gets so specific, it's like\nbeing in the crosshairs.<br />\n<br />\nfor what it's worth, i find myself reading more non-fiction than\nfiction. it's usually some kind of philosophy, art, or science text\nby silly authors such as ranciere, de certeau, bataille,\nbaudrillard, butler, stein, arendt, nietzche, zizek, etc. i'll\noften throw in some weird new age or pop-psychology book in the mix\nas well. as for fiction, i enjoy what little i've read of eco,\nperec, wallace, bolao, dick, vonnegut, atwood, delilo, etc. when i\nwas young, i was a rabid asimov reader.<br />\n<br />\ndirectors i find myself drawn to are makavejev, kuchar, jodorowsky,\nherzog, hara, klein, waters, verhoeven, ackerman, hitchcock, lang,\ngorin, goddard, miike, ohbayashi, tarkovsky, sokurov, warhol, etc.\nbut i also like a good amount of "trashy" stuff. too much to\nname.<br />\n<br />\ni definitely enjoy the character development that happens in long\nform episodic television over the course of 10-100 episodes, which\na 1-2hr movie usually can't compete with. some of my recent tv\nfavorites are: breaking bad, the wire, dexter, true blood, the\nprisoner, lost, fringe.<br />\n<br />\na smattered sampling of the vast field of music i like and deejay:\nart ensemble, sun ra, evan parker, lil wayne, dj funk, mr. fingers,\nmaurizio, rob hood, dan bell, james blake, nonesuch recordings,\nomar souleyman, ethiopiques, fela kuti, john cage, meredith monk,\nrobert ashley, terry riley, yoko ono, merzbow, tom tom club, jit,\njuke, bounce, hyphy, snap, crunk, b'more, kuduro, pop, noise, jazz,\ntechno, house, acid, new/no wave, (post)punk, etc.<br />\n<br />\na few of the famous art/dance/theater folk that might locate my\nsensibility: andy warhol, bruce nauman, yayoi kusama, louise\nbourgeois, tino sehgal, george kuchar, michel duchamp, marina\nabramovic, gelatin, carolee schneeman, gustav metzger, mike kelly,\nmike smith, andrea fraser, gordon matta-clark, jerzy grotowski,\nsamuel beckett, antonin artaud, tadeusz kantor, anna halperin,\nmerce cunningham, etc. i'm clearly leaving out a younger generation\nof contemporary artists, many of whom are friends.<br />\n<br />\nlocal food regulars: sushi zone, chow, ppq, pagolac, lers ros,\nburma superstar, minako, shalimar, delfina pizza, rosamunde,\narinells, suppenkuche, cha-ya, blue plate, golden era, etc.	movement<br />\nconversation<br />\ncreation<br />\ncontemplation<br />\ntouch<br />\nhumor	NaN	viewing. listening. dancing. talking. drinking. performing.	when i was five years old, i was known as "the boogerman".	you are bright, open, intense, silly, ironic, critical, caring,\ngenerous, looking for an exploration, rather than finding "a match"\nof some predetermined qualities.<br />\n<br />\ni'm currently in a fabulous and open relationship, so you should be\ncomfortable with that.	NaN	68.0	-1	NaN	2012-06-27-09-10	san francisco, california	NaN	straight	has cats	NaN	m	pisces but it doesn’t matter	no	english, french, c++	available
3	23	thin	vegetarian	socially	NaN	working on college/university	i work in a library and go to school. . .	reading things written by old dead people	playing synthesizers and organizing books according to the library\nof congress classification system	socially awkward but i do my best	bataille, celine, beckett. . .<br />\nlynch, jarmusch, r.w. fassbender. . .<br />\ntwin peaks & fishing w/ john<br />\njoy division, throbbing gristle, cabaret voltaire. . .<br />\nvegetarian pho and coffee	NaN	cats and german philosophy	NaN	NaN	you feel so inclined.	white	71.0	20000	student	2012-06-28-14-22	berkeley, california	doesn’t want kids	straight	likes cats	NaN	m	pisces	no	english, german (poorly)	single
4	29	athletic	NaN	socially	never	graduated from college/university	hey how's it going? currently vague on the profile i know, more to\ncome soon. looking to meet new folks outside of my circle of\nfriends. i'm pretty responsive on the reply tip, feel free to drop\na line. cheers.	work work work work + play	creating imagery to look at:<br />\nhttp://bagsbrown.blogspot.com/<br />\nhttp://stayruly.blogspot.com/	i smile a lot and my inquisitive nature	music: bands, rappers, musicians<br />\nat the moment: thee oh sees.<br />\nforever: wu-tang<br />\nbooks: artbooks for days<br />\naudiobooks: my collection, thick (thanks audible)<br />\nshows: live ones<br />\nfood: with stellar friends whenever<br />\nmovies > tv<br />\npodcast: radiolab, this american life, the moth, joe rogan, the\nchamps	NaN	NaN	NaN	NaN	NaN	asian, black, other	66.0	-1	artistic / musical / writer	2012-06-27-21-26	san francisco, california	NaN	straight	likes dogs and likes cats	NaN	m	aquarius	no	english	single
5	29	average	mostly anything	socially	NaN	graduated from college/university	i'm an australian living in san francisco, but don't hold that\nagainst me. i spend most of my days trying to build cool stuff for\nmy company. i speak mandarin and have been known to bust out\nchinese songs at karaoke. i'm pretty cheeky. someone asked me if\nthat meant something about my arse, which i find really\nfunny.<br />\n<br />\ni'm a little oddball. i have a wild imagination; i like to think of\nthe most improbable reasons people are doing things just for fun. i\nlove to laugh and look for reasons to do so. occasionally this gets\nme in trouble because people think i'm laughing at them. sometimes\ni am, but more often i'm only laughing at myself.<br />\n<br />\ni'm an entrepreneur (like everyone else in sf, it seems) and i love\nwhat i do. i enjoy parties and downtime in equal measure.\nintelligence really turns me on and i love people who can teach me\nnew things.	building awesome stuff. figuring out what's important. having\nadventures. looking for treasure.	imagining random shit. laughing at aforementioned random shit.\nbeing goofy. articulating what i think and feel. convincing people\ni'm right. admitting when i'm wrong.<br />\n<br />\ni'm also pretty good at helping people think through problems; my\nfriends say i give good advice. and when i don't have a clue how to\nhelp, i will say: i give pretty good hug.	i have a big smile. i also get asked if i'm wearing blue-coloured\ncontacts (no).	books: to kill a mockingbird, lord of the rings, 1984, the farseer\ntrilogy.<br />\n<br />\nmusic: the beatles, frank sinatra, john mayer, jason mraz,\ndeadmau5, andrew bayer, everything on anjunadeep records, bach,\nsatie.<br />\n<br />\ntv shows: how i met your mother, scrubs, the west wing, breaking\nbad.<br />\n<br />\nmovies: star wars, the godfather pt ii, 500 days of summer,\nnapoleon dynamite, american beauty, lotr<br />\n<br />\nfood: thai, vietnamese, shanghai dumplings, pizza!	like everyone else, i love my friends and family, and need hugs,\nhuman contact, water and sunshine. let's take that as given.<br />\n<br />\n1. something to build<br />\n2. something to sing<br />\n3. something to play on (my guitar would be first choice)<br />\n4. something to write/draw on<br />\n5. a big goal worth dreaming about<br />\n6. something to laugh at	what my contribution to the world is going to be and/or should be.\nand what's for breakfast. i love breakfast.	out with my friends!	i cried on my first day at school because a bird shat on my head.\ntrue story.	you're awesome.	white	67.0	-1	computer / hardware / software	2012-06-29-19-18	san francisco, california	doesn’t have kids, but might want them	straight	likes cats	atheism	m	taurus	no	english (fluently), chinese (okay)	single
6	32	fit	strictly anything	socially	never	graduated from college/university	life is about the little things. i love to laugh. it's easy to do\nwhen one can find beauty and humor in the ugly. this perspective\nmakes for a more gratifying life. it's a gift. we are here to play.	digging up buried treasure	frolicking<br />\nwitty banter<br />\nusing my camera to extract sums of a whole and share my perspective\nwith the world in hopes of opening up theirs<br />\nbeing amused by things most people would miss	i am the last unicorn	i like books. ones with pictures. reading them is great too. where\ndo people find the time? i spend more time with other people not\nreading. i collect books. they sit neatly on my bookshelves.<br />\n<br />\nmovies are great. especially on movie night. with brownies.<br />\n<br />\nmusic. i love (love) it all. unless it's country.<br />\n<br />\ni love food.	laughter<br />\namazing people in my life<br />\ncolor<br />\ncuriosity<br />\nmusic and rhythm<br />\na good pair of sunglasses	synchronicity<br />\n<br />\nthere is this whole other realm where the fabrics of our life\nstories intersect as they dance and play in a magical burst of\nenergy. this realm doesn't need you to believe in it in order to\nmaintain. it is a cluster of synchronicities and happenings. it is\na gift to those who notice them. something to be treasured\nappreciated. there is something special in each and every moment\nthat you experience in your daily waking life. this something\nbrings us back to the age old question: if a tree falls in the\nforest and no one is there to hear it, does it make a sound? this\nworks in the same way. if you are not consciously there to hear it,\nsee it, taste it, smell it, feel it none of this matters, it's\nstill there. pay attention to the little things, those that are\noften overlooked. see if you can find the magic in this gift we\ncall life.	plotting to take over the world with my army of segway riding\npandas and fire breathing kittens	my typical friday night	NaN	white, other	65.0	-1	NaN	2012-06-25-20-45	san francisco, california	NaN	straight	likes dogs and likes cats	NaN	f	virgo	NaN	english	single
7	31	average	mostly anything	socially	never	graduated from college/university	NaN	writing. meeting new people, spending time with friends, seeing\nfilms, going to literary events and lectures, sifting through\nbookstores and thrift stores, exploring the city. i also work full\ntime at an interactive agency.	remembering people's birthdays, sending cards, being thoughtful,\narm wrestling	i'm rather approachable (a byproduct of being from a small town in\nthe midwest).	i like: alphabetized lists, aquariums, autobiographies, beer on\ntap, ben folds, biking, brunch, citrus, cocktails, color, comfort\nfood, craft projects, dancing, design, diy, essays, fabric stores,\nfield trips, flea markets, foreign films, glee, good, hammond\norgans, helping lost tourists, indie rock, ice cream, languages,\nlectures, letterpress, libraries, literary fiction, live shows, mad\nmen, martha stewart living, memoir, mix tapes, non-fiction, npr,\nplants, puns, sewing, short stories, siestas, singer-songwriters,\nspicy food, stationery, storytelling, sufjan stevens, talking to\nstrangers, tea, tegan and sara, the office, 30 rock, travel,\nquilts, quirky movies, wes anderson, wine, writing, yoga.	friends, family, notebook/pen, books, music, travel	things that amuse and inspire me	out and about or relaxing at home with a good book or netflix	NaN	NaN	white	65.0	-1	artistic / musical / writer	2012-06-29-12-30	san francisco, california	doesn’t have kids, but wants them	straight	likes dogs and likes cats	christianity	f	sagittarius	no	english, spanish (okay)	single
8	24	NaN	strictly anything	socially	NaN	graduated from college/university	NaN	oh goodness. at the moment i have 4 jobs, so it'd be nice to find\none i could settle into. other than that, i'm making sure i'm\nsurrounded by good people and keeping happy and active	NaN	i'm freakishly blonde and have the same name as that hurricane from\na while back.	i am always willing to try new foods and am not too picky. i do\nhowever have an extremely low tolerance to spicy food, i'm working\non it tho... i've already conquered pouring chipotle hot sauce all\nover my burritos. guess i still have a long ways to go. one of my\nfavorite spots in marin is sol food-- simply delicious puerto rican\nfood.<br />\n<br />\nlove to laugh so i like to watch a fair amount of comedies-\nromantic, dark or otherwise. princess bride, pixar!, fear and\nloathing, caddyshack, thomas crown affair, the birdcage ("chewing\ngum helps me think"... "sweetie, you're wasting your gum!"), the\nbig lebowski, star wars (don't judge)<br />\n<br />\ni like historical fiction, murder mysteries, fantasy,\nutopian/dystopia, and, uh, the occasional romance book. just\nstarted the historian and trying to decide whether or not to read\nthe hunger games... already saw battle royale and it was pretty\ncool, so i'd imagine that collin's version she ripped off has got\nto be fun to read.<br />\n<br />\ncan't get enough music. like it, love it, want some more of it.\nlove to dance to it and to many peoples dismay, sing to it. pretty\nopen to any kind, even country.\nhttp://www.youtube.com/watch?v=dghbozbsv18&feature=bfa&list=pl01a90d209abe1ed3&lf=plpp_video	sports/my softball glove<br />\ncoffee. because nobody likes zombies.<br />\nkindle<br />\nloud music/concerts<br />\ncandlelight showers<br />\noh, my amazing/crazy friends and family<br />\ngirl scout cookies... curse those delectable treats that dethrone\nmy generally reasonable diet-- i could eat a box of those in under\nan hour	NaN	in or out... drinking with friends, maybe a bar or dancing my pants\noff, watching or playing a game	potential friends/lovers/people who come in contact with me, beware\n... when alone in my car or the shower, i enjoy singing loudly and\noff key... and even sometimes when i'm not so alone.	http://www.youtube.com/watch?v=4dxbwzuwsxk let's have some fun and\nmaybe get into a little trouble	white	67.0	-1	NaN	2012-06-29-23-39	belvedere tiburon, california	doesn’t have kids	straight	likes dogs and likes cats	christianity but not too serious about it	f	gemini but it doesn’t matter	when drinking	english	single
9	37	athletic	mostly anything	not at all	never	working on two-year college	my names jake.<br />\ni'm a creative guy and i look for the same in others.<br />\n<br />\ni'm easy going, practical and i don't have many hang ups. i\nappreciate life and try to live it to the fullest. i'm sober and\nhave been for the past few years.<br />\n<br />\ni love music and i play guitar. i like tons of different bands. i'm\nan artist and i love to paint/draw etc. and i love creative\npeople.<br />\n<br />\ni've got to say i'm not too big on internet dating. you cant really\nget an earnest impression of anyone from a few polished paragraphs.\nbut we'll see, you never know.	i have an apartment. i like to explore and check things out. i like\ngood japanese and peruvian food. nothing beats good ceviche on a\nhot day. or a hot chai on a cold one.<br />\n<br />\ni've been working on my a.o.d. certification but have stalled out.\ni'm hoping to pursue art but have yet to find the best venue.\nrecently i've been working on a construction job in belmont. it's\nnot my dream job. but for the time being it affords me other\nopportunities. plus it keeps me in shape, so i shouldn't complain.	i'm good at finding creative solutions to problems. i can organize\na living space pretty well. i'm good at making people smile. i'm\ngood at laughing at inappropriate times. and i make a mean bowl of\ncereal.	i'm short	i like some tv. i love summer heights high and angry boys. and i\nlove fringe.<br />\n<br />\ni'm reading stiff after finishing elliott smith and the big nothing\n(loved it). i like biographies.<br />\n<br />\ni love music. it would be impossible to list everything i like\nbecause the list grows exponentially. i like george harrison or the\nclash. i like flight of the conchord's, old radiohead and elliott\nsmith. djali zwan, x, the knitters, the kinks, john lennon, floyd,\nnina simone, the smiths, seu jorge, the sex pistols, immortal\ntechnique, al green, dead kennedy's, the beatles, cat stevens, nine\ninch nails, the dead, bob dylan etc.<br />\nmy taste is varied, i love music.<br />\n<br />\nand i love movie's, i like all kinds.<br />\nthese days i'm at netflix more often though.<br />\nand i never miss science friday's.	music, my guitar<br />\ncontrast<br />\ngood food<br />\nmy bike<br />\nmy paintbrush<br />\nmy toothbrush<br />\nfamily & friends<br />\n<em>ok....there's seven</em>	<strong><em>you should</em></strong>	<strong><em>send a message</em></strong>	<em><strong>and say hi.</strong></em>	you can rock the bells	white	65.0	-1	student	2012-06-28-21-08	san mateo, california	NaN	straight	likes dogs and likes cats	atheism and laughing about it	m	cancer but it doesn’t matter	no	english (fluently)	single

	age	body_type	diet	drinks	drugs	education	essay0	essay1	essay2	essay3	essay4	essay5	essay6	essay7	essay8	essay9	ethnicity	height	income	job	last_online	location	offspring	orientation	pets	religion	sex	sign	smokes	speaks	status
59936	25	average	mostly anything	socially	never	graduated from college/university	NaN	NaN	NaN	my infectious laugh :)	NaN	NaN	NaN	NaN	NaN	NaN	asian	61.0	-1	other	2012-06-30-18-17	san francisco, california	doesn’t have kids	straight	NaN	atheism	f	virgo but it doesn’t matter	no	english (fluently), chinese (fluently)	single
59937	32	thin	anything	socially	NaN	working on masters program	a cautious photo for a cautious dude (i'm having an internal debate\nas we speak about calling myself a dude). i'm sure i'll warm to\nputting one where you can actually see what i look like sometime\nsoon.<br />\n<br />\ndon't search for meaning if i do not respond to your message. this\nis my first time on an online dating site (vultures swoop in...)and\ni'm pretty slow to get things going-with anything. don't be\nsurprised if you here from me a week later.	mourning the loss (they broke in ecuador i think) of those\nsunglasses.	conscientiousness. adding -ness to words that you can't add it to.\nthough i think it's ok here.	probably that i have no hair (unless i'm wearing a hat which is 90%\nof the time because its fucking freezing in the bay area) and that\ni look 20.	i get anxious when people ask about favorites. i like all of the\nabove-and not crappy ones. nick hornby totally resonates with me.\noutkast is one of my all-time faves (i'm not sure i like the word\nfave).	water. air. food. clothes (if its cold, though i did run naked in\n20 degree weather once (with shoes)). singing. being a smart ass.	thinking	was in class friday nights this past semester.<br />\n<br />\nnow, bemoaning the fact that i'm not doing something better.	i wish my sexual preferences were clearer to me. i hope my brain is\nnot the reason for the lack of clarity.<br />\n<br />\nmy fear of stds goes beyond the rational.	you don't know what it's all about...	white	69.0	-1	education / academia	2012-02-17-20-44	san francisco, california	NaN	bisexual	NaN	judaism and laughing about it	m	NaN	no	english, spanish (fluently)	single
59938	48	average	NaN	NaN	NaN	NaN	i was born, raised and live in the san francisco bay area, where i\nhave relationships with friends and family and will probably stay\nso that i can continue being close to these people. i have always\nbeen a creative person, painting, drawing, making films and videos\nand i like to hang out with creative people who are interested in\nlife. i love nature and walks in nature. i love to dance.<br />\n<br />\ni am creative, silly, and loving	i have mostly been working in media arts as an educator, video\neditor and producer. lately i'm mostly writing.	most things creative. having a broad perspective on life and being\nable to look at and think about big issues and realities while\nkeeping a positive attitude toward life and human beings.	i'm approachable.	books: lately - eckhart tolle's "a new earth," he breaks it down.\n"the last temptation of christ," the book and film, most art books\nwith pictures, writings by artists about their approaches, john\nlennon's automatic writings in "sky writing by word of mouth" are\nsome of the few writings that will make me laugh out loud.\nself-help books have once guided my life.<br />\nmovies: those that i have watched several times lately include\n"ghost world," "sideways," "vertigo," documentaries, i love any\nfilm that makes me cry, "to sir with love" (with sidney poitier)\nand usually various scenes from the tv film "jesus of\nnazareth."<br />\nmusic: that i have collected over the years include the beatles\n(who will probably always have first billing in my heart especially\nsince i grew up with them, know how to sing many of the songs and\nhave made great connections to others through their music), i love\nduke ellington and that type of jazz and enjoy any music i can\ndance to. since i write a lot i tend to listen to a lot of\ninstrumental classical, jazz, electronica, world and folk music.\ni've had my romances with los lobos, prince, rem, the stones, and\nothers that i temporarily was drawn to absorb and get to\nknow.<br />\nfood: i generally eat anything though i prefer healthy food,\nvegetarian when possible. i'm not very specific around food.	other people, my ability to think, the sustenance of life (food,\nair, water, rest, shelter, etc.) obviously, artistic tools,\nhopefulness, love	how to bring about a healthy and loving world. film and art\nprojects and how to put them together and what to say. how to\nbetter connect with others and my self. the nature of reality and\nthe nature of societies.	being social.	nothing that will be very useful to you or me at this time.	if you feel so compelled.	native american, hispanic / latin	73.0	-1	NaN	2012-06-14-16-51	san francisco, california	doesn’t have kids	straight	likes dogs and likes cats	other	m	leo and it’s fun to think about	NaN	english	single
59939	52	NaN	NaN	socially	never	graduated from college/university	hi there and thanks for checking out my profile! i'm a fun-loving\nguy who is upbeat, loves life, is curious and inquisitive. i have a\ngreat sense of humor, and enjoy spending time with close friends,\ncolleagues, and meeting new people. i'm an executive at a high tech\ncompany and i have a great job that challenges me, lets me be\ncreative, and gives me the opportunity to work with a lot of really\nterrific folks. while i love my work, i believe having a balance\nbetween work and life is very important, so i rarely work on\nevening after i leave work and on weekends. when not at work, i\nlike spending time with friends or just hanging out at home with\ntrixie the cat. i'm an avid reader mostly science fiction, i\nenjoy listening to music and podcasts, and i like spending time\noutdoors walking, hiking, or riding my bicycle. dancing to music\nwith a good beat is one of my favorite activities but is something\ni don't get to do often enough. i believe learning is a life long\nactivity and i have insatiable curiosity so i like trying new\nthings (i know it's clich but i'll try anything at least once). i\nlike exploring new places and trying new foods. champagne is my\nfavorite alcoholic beverage and one that should never be consumed\nalone. i like meeting and getting to know new people.<br />\n<br />\ni can be very outgoing and extroverted and can be the life of the\nparty although i tend to prefer small settings with really close\nfriends. in matters of the heart, i think good communication is key\nto true intimacy (both emotional and physical) and good\ncommunication comes from respect, honesty and generous listening to\nyour partner something i think i'm very good at. i believe women\nmake great friends (not just lovers).<br />\n<br />\nlife is best when shared with good friends and someone you\nlove.<br />\n<br />\ni am intelligent, fun, and pretty darn cool	i'm spending time enjoying the best job i've ever had and trying to\nmake the world a better place in the process, developing my maker\nskills, learning to play the native american flute, and giving\ntrixie the cat lots of love and making sure she has a terrific cat\nlife.	making cool electronic stuff, being someone people can count on,\nbeing a great friend, generously listening, mentoring up-and-coming\nfolks at work, and loving those close to me. i'm told i'm a great\nkisser (too much information?) i'm great at solving problems and\ni'm a very good communicator. i'm trying to be good at gardening\nbut i think i need a heck of a lot more practice. i'm very, very\ngood at working with computers, i'm a geek at heart, and have been\nworking with them since before high school and my career has\nrevolved around computing and technology. i'm very good at cooking\nchinese food. i'm also good at drawing and hope some day to be able\nto say i'm really good at drawing manga.	i needed an expert opinion for this section so i asked a colleague\nwhat she thought and without hesitation she said: your smile :-)	music: rock and roll artists that top my list include the cars,\nthe rolling stones, the alan parsons project, the beach boys, and\nthe beatles. i also like classical, jazz, trance, electronica, and\ngregorian chants (pretty eclectic taste in music, eh?)<br />\n<br />\nmovies: the rocky horror picture show, galaxy quest, the fifth\nelement, primer, the american astronaut, men in black, the\nincredibles, empire records, lord of the rings to name a few.<br />\n<br />\ntv: bones, csi (the original), battlestar galactica, stargate, star\ntrek, house, eureka, doctor who, torchwood.<br />\n<br />\nfood: chinese (not just eating it, i like cooking it), thai, and\nsushi.	trixie the cat<br />\na double shot of good espresso in the morning<br />\ninternet access<br />\na challenging job with great people to work with<br />\ngood friends<br />\ntwo tivo's to record my favorite shows.	how the web, new social media, and collaboration sites are changing\nthe way people interact and how these news ways of communicating is\nchanging the world is changing. since joining okcupid, i've been\nspending a lot of time thinking about the dynamics of online\ndating.	enjoying a glass of red wine or a scotch on the rocks with\nco-workers or decompressing from the work week by relaxing with\ntrixie the cat and watching my favorite shows on my tivo and\nplanning my weekend fun.	i really like listening to and dancing to disco!	you want to meet and get to know a talented, interesting, sexy, and\nfun guy for friendship and more if we have the right chemistry.	white	70.0	-1	executive / management	2012-07-01-06-08	san carlos, california	doesn’t want kids	straight	likes dogs and has cats	NaN	m	pisces and it’s fun to think about	no	english (fluently)	single
59940	31	NaN	NaN	socially	never	working on masters program	real deal: i am sensitive (sorry, tears included)-\nsilly-serious-sassy-nerdy-sweet-fun-compassionate-reserved-home\nbody-outspoken-tough-adventurous-chill-loyal-passionate.<br />\n<br />\njust moved to sf and i l-o-v-e it :)<br />\nbut i'm "from" the bay--albeit a skip and a jump here and there--\ncanada, iran, bulgaria-- before landing here in my tender\nyears....<br />\n<br />\ni enjoy going to a show/music, festival, movie, museum, strolling,\ndancing, laughing, sitting at home, hiking, meeting new friends and\nexploring the city, coffee shops, cute downtowns/window shopping, a\nglass of vino, hosting a dinner, decorating/interior design/vintage\nstuff, pilates, reading, writing, eating, wit, good spelling, and\ncleanliness.... and....cuddling---- once i'm down for you like that\n:)<br />\n<br />\ni like to travel, am definitely not pretentious but ain't from the\nbackwoods either, not exactly always a glass half full kinda girl\nbut see the best in people, get along with different walks of life,\nlike patience and empathy, i treat others as i would want to be\ntreated, and, as with most ppl, i have my layers and my\ncomplications (but i am generally an open book).<br />\n<br />\ni have been told i keep ppl on their toes a bit.... maybe bc i am\ncaring yet will sass as necessary? ;) dk!! maybe bc our outside\nshell is sometimes at odds with who we are..... recently, a friend\ntold me: you may be 5'2" but you walk like you're 6'2". on the\nother hand, you look like you might be the next "hot girl" but you\nare far from that girl.<br />\n<br />\nwhat else?....i think love is in the details--the nuances,\nthoughtfulness, affection and the giving.<br />\n<br />\ni have had my share of interesting life experiences and cultural\ncomplications. i'm always growing and appreciate like minded folks\nwith good energy.<br />\n<br />\none note: a great must=mature communicator please--listens,\npatience, cares about others' feelings/thoughts, expresses himself,\na giver, enjoys sharing deeper and lighter parts of them self, and\nnot a 'power person'.	right now...watching 'celebrity rehab' and commiserating. in\ngeneral... i' m in transition bc i am in school, just moved, got\nout of a relationship a while back (key word: while, so breathe),\nand all around ready to embrace all the changes that are coming my\nway. i would like to hang with cool, fun, sf/peninsula\nprofessionals/brainiacs who despite being busy like me ( 4 year\nridiculous masters program in speech therapy/communicative\ndisorders!) enjoy contact with the opposite sex! ha ha.	eating chocolate and doing pilates (usually not back to back)	my hair? eyes? height? curves? dk....my caring yet outspoken nature	too many to name ...<br />\n-a new earth, kite runner, mistress of spices, confessions of zeno,\nblack sexual politics, jung, nietzche, cat on a hot tin roof, brave\nnew world, rumi, poetry by women of color, cat's cradle, a woman,\nthe bell jar, the awakening, invisible man, eat, pray love,\npersepolis....<br />\n-frida, usual suspects, juno, blood diamond, the mist, dawn of the\ndead, life is beautiful, carlito's way, sound of music, love and\nbasketball, quarantine, mystic river, the notebook, good will\nhunting, salt, kite runner, motorcycle diaries, city of god, hitch,\nsyriana, nightmare on elm street<br />\n-adele, sade, tori amos, fleetwood mac, pink floyd, zeppelin,\ntalib, nas, alicia keys, mary j blige, too many to mention\n.....jazz, blues, rock, reggae, r&b, pop.....	1. pilates<br />\n2. solo relaxation time (with or without snacks/tv)<br />\n3. good friends and family<br />\n4. dark, quiet room for zzzz's<br />\n5. music<br />\n6a travel and new experiences/activities<br />\n6b great food	how i am gonna answer this question! ...existential stuff?	doing the obvious two things everyone is doing: at home or out\ndoing something fun! (or school related work)	--is that i sometimes watch reality tv (even though i used to swear\ni wouldn't) ----correction: i used to before i moved to sf!<br />\n--and that i really want to start volunteering or participating in\na meaningful way that allows me to get out of my own head/own\nskin/give back.<br />\n--i am in a good (but evolving/healing/growing) spiritual place,\nand i really believe in harnessing that energy for self and others\nwho add to your life. i really appreciate a partner or friend who\ncan emanate that compassion back.	--if you have the courage to tell me why you checked out my profile\n(once or several times) but did not send a msge ;)<br />\n-better yet, you can explain to me what the rating system\nis....seems a bit of a drive by salute to me. you rated me as 4\nstars but you never want to talk to me? hmmmm :)<br />\n--fun, stable, creative, educated, not an a@@hole,\nintegrity/reliable, single, honest, not vain/self centered, are\npassionate about what matters, are sweet and/or funny, have a\ndecent vocabulary...oh and nice to look at/able to make me salivate\nwouldn't hurt! i am tempted to say sarcastic humor, but then i fear\nthat would be all men in sf ;)<br />\n--wanna have coffee, have a drink, new friends, grab a bite, play\nmind hockey etc<br />\n--you want to watch a futbol game (eurocup)....don't have tv...or\nwanna be my awesome sf tourguide<br />\n--you have depth in your emotions and are conscious. i am turned on\nby accountability and giving. you can still be a bad ass, don't\nworry.<br />\n--you're not scared off or don't take it personally if it happens\nto say "responds selectively" bc frankly, this ish is a part time\njob	middle eastern	62.0	-1	NaN	2012-07-01-00-40	san francisco, california	NaN	straight	likes dogs	agnosticism	f	sagittarius	no	english (fluently), french, farsi	single
59941	59	NaN	NaN	socially	never	graduated from college/university	vibrant, expressive, caring optimist. i love being with people,\ntraveling the world and sharing the excitement of discovery.<br />\n<br />\ni am a once traditional girl who challenged her world and am\ngrateful that life threw enough curve balls that i have learned to\ncatch the wind!	the happiest times have been when life came to me and i ran with\nit-not at it or ahead of it. it sounds cliche but life happens when\nyou don't realize it and it is the joy and appreciation that\ndefines and prevails.<br />\nat this stage of my life, i am trying to let life take its course,\nstop overthinking and believe in surprises!	i make an outstanding osso bucco. i am also very creative so i\nthrive on the enjoyment of art, music and design.	i am told that people notice my smile, eyes and the way i dress.	i am an avid movie watcher and follow the broadway season. movie\nfavorites include: the graduate, room with a view, pride and\nprejudice, an education, la dolce vita, the king's speech. very\neclectic and multi generation music tastes-from opera to the\nbeatles to van morrison to sinatra, dean martin, tony\nbennett.<br />\nhuge fan of diana krall, elvis costello and i do love to remember\nthe 70's.<br />\n<br />\ni have been fortunate to have eaten at wonderful restaurants\nthroughout the world but day to day, i am basically a salad kind of\ngirl.	my family, my dog, italy, words and music!	writing my book.	running with my dog, finishing up the work week, looking forward to\na great weekend.	i have a dream to sing at the alconquin in nyc and to live in italy\n-along the cinque terre, working in a gelateria.	you are seeking a long term connection of shared joy.	NaN	62.0	-1	sales / marketing / biz dev	2012-06-12-21-47	oakland, california	has kids	straight	has dogs	catholicism but not too serious about it	f	cancer and it’s fun to think about	no	english	single
59942	24	fit	mostly anything	often	sometimes	working on college/university	i'm nick.<br />\ni never know what to write about myself.<br />\nand i'm not sure what to do with my hands.<br />\nso i'm from southern california.<br />\ni live in san francisco now.<br />\ni have an aa in something or other and i'll have a ba in cinema\nthis year.<br />\ni also do graphic and web design.<br />\ni'm almost never a jackass.<br />\nitalian and spanish heritage. i'll argue your socks off.<br />\nstones > beatles, but they're both cool.<br />\ndogs are cool. cats are sometimes awesome, but usually a letdown.\n(there's probably a metaphor there, but i'll leave it alone)<br />\ni'll add more later.	currently finishing school for film production, emphasis in\ncinematography.	<a class="ilink" href="/interests?i=filmmaking">filmmaking</a>,\n<a class="ilink" href="/interests?i=photography">photography</a>,\n<a class="ilink" href="/interests?i=graphic+design">graphic\ndesign</a>, <a class="ilink" href="/interests?i=web%0adesign">web\ndesign</a>, <a class="ilink" href=\n"/interests?i=writing">writing</a>, <a class="ilink" href=\n"/interests?i=eating">eating</a>, etc.	dude, i don't know.	<strong>movies</strong>:<br />\nhook (the greatest adventure ever!), gladiator, fight club (c'mon,\nevery man loves it), 28 days later (gotta respect a good zombie\nflick), the dark knight, drive, the assassination of jesse james by\nthe coward robert ford, almost famous, the godfather trilogy (even\npart iii), star wars (the good ones), and many many more...<br />\n<br />\n<strong>books</strong>:<br />\nfor whom the bell tolls (hemingway), a moveable feast (hemingway),\na farewell to arms (hemingway), the zahir (paulo coelho), the\nalchemist (paulo coelho), the hitchhiker's guide to the galaxy\n(douglas adams), yes man (danny wallace), etc...<br />\n<br />\n<strong>shows</strong>:<br />\nhow i met your mother, friends, it's always sunny in philadelphia,\nworkaholics, the office, californication, game of thrones,\neastbound & down, mad men, and many more...<br />\n<br />\n<strong>music</strong>:<br />\nwarren zevon, led zeppelin, the rolling stones, motley crue,\nthrice, modest mouse, brand new, blink-182, electric president, 13\n& god, the matches, paolo nutini, any hans zimmer score, any\ndanny elfman score, any cliff martinez soundtrack, and many many\nmore...<br />\n<br />\n<strong>food</strong>:<br />\nall of it	iphone<br />\ncontact lenses<br />\nheadphones<br />\ncamera<br />\ntv remote<br />\nbottle opener	i do most of my thinking on the bus to/from work. usually about why\nthe seat across from me smells like urine, or if the person sitting\nnext to the emergency exit is really the right one for the job.\nwhen i'm driving i usually daydream about putting petal to metal\nand weaving in and out of traffic because i have to stop a major\ndisaster from happening, or something die hard-ish like that. it\nhasn't happened yet, but i'm still hopeful.	bringin' home bacon, or drinking and shakin'!	when i was 18 i got a tattoo of waldo somewhere on my body.	meh if you made it this far you might as well.	white, other	72.0	-1	entertainment / media	2012-06-29-11-01	san francisco, california	doesn’t have kids	straight	likes dogs and likes cats	agnosticism	m	leo but it doesn’t matter	no	english (fluently)	single
59943	42	average	mostly anything	not at all	never	graduated from masters program	hello! i enjoy traveling, watching movies, and hanging out with\nfriends. my #1 rule for traveling is to go to places where where i\ncan drink the tap water. =p i've been to japan, washington dc, new\nyork, london, paris, china (an exception to rule #1) and many other\nplaces. for the year, i haven't decided yet. maybe toronto and\nmontreal. my taste in movies (and television) fall into three\ngenres: comedies, action, and drama. it doesn't matter if the film\nis in english or sub-titled (i can't stand dubbed), but it has to\nbe well-written. aside from the traveling and movies, i also enjoy\nbroadway shows (4 shows in 5 nights in vegas a couple years ago),\nbay area sports (except the sharks), online gaming, good food, and\nkeeping up with current events.<br />\n<br />\nmy friends would describe me as easy-going, goofy, thoughtful,\nconsistent, honest, and dependable. i can get serious when i have\nto be. overall, i like to think that i lead my life by doing what\nis "right".	i'm a civil engineer, who enjoys helping the citizens of san san\nfrancisco.	- looking at things objectively<br />\n- getting things done (but others may disagree) =p<br />\n- remaining calm in any situation	i'm quiet until i get used to the environment (but isn't that\nnormal?).	last book: "game change".<br />\nmovies: bourne series, action, smart comedies (in contrast to\nslapstick), must have a decent plot<br />\nshows: local sports, ncis, good wife, top chef, currently exploring\njapanese dramas<br />\nmusic: koit...<br />\nfood: korean bbq, japanese, chinese, thai, italian, burgers, almost\nanything	- iphone<br />\n- friends and family<br />\n- internet<br />\n- bay area sports<br />\n- humor<br />\n- point & shoot camera	aside from work, how to improve my home.	out enjoying friendly conversation over dinner.	please let me think about this more.	we have similar interests.	asian	71.0	100000	construction / craftsmanship	2012-06-27-23-37	south san francisco, california	doesn’t have kids	straight	NaN	christianity but not too serious about it	m	sagittarius but it doesn’t matter	no	english (fluently)	single
59944	27	athletic	mostly anything	socially	often	working on college/university	"all i have in this world are my balls and my integrity and no one\ncan take either away from you" -momma linda (her daughter and i\nwent to the same nursery)<br />\n<br />\nweed and alcohol are my vices...oh, and the company of women	following my dreams...<br />\n"you got a dream... you gotta protect it. people can't do somethin'\nthemselves, they wanna tell you you can't do it. if you want\nsomethin', go get it. period." -will smith in "pursuit of\nhappyness"	listening	it used to be the hair until i mowed it off but i would have to say\nthe dimples ever since i could remember, its always been about\nthose indents in my cheeks. i think its because i do smile more\nthan the average person. not those fake smiles either. smiling is\nall in the eyes.	where to begin musically: right now i listen to a lot of mgmt, mike\nposner, above and beyond, drake, the roots, trey songz, usher, bay\nmusic, local artist and anything that will get me to dance. i am\nnot ashamed to admit i am a huge coldplay fan. the killers are\nawesome live. i love hip hop with a message and relevant to my\nlifestyle: guns money and drugs if only my life were that\ninteresting. talib kweli, mos def, common, atmosphere (slug) fill\nmy speakers/headphones mostly.<br />\n<br />\ni will read any book, magazine, online article that has to do with\nthe body and/or mind.<br />\n<br />\ni love to cook and will try anything once when it comes to foodsi'm\nnot familiar with but i consider myself to be a well cultured\nconnoisseur when it comes to eating out.<br />\n<br />\nshows:<br />\n-californication<br />\n-modern family<br />\n-breaking bad<br />\n-weeds<br />\n-anything that can keep me glued to a couch for 24 minutes	music, family, friends, a basketball, hoop, something to read	what can i do to make someone chuckle....	what i would do on any other day. everydays a friday ..	i like walking around in other people's house naked. seriously.\nbodies are beautiful and it makes an awkward situation funny!	you are interested and interesting...	asian, black	73.0	-1	medicine / health	2012-06-23-13-01	san francisco, california	doesn’t have kids, but wants them	straight	likes dogs and likes cats	agnosticism but not too serious about it	m	leo and it’s fun to think about	trying to quit	english (fluently), spanish (poorly), chinese (poorly), korean (poorly), japanese (poorly)	single
59945	39	average	NaN	socially	NaN	graduated from masters program	is it odd that having a little "enemy" status with someone, makes\nthem seem more interesting to me?<br />\n<br />\ni'm an extremely socially-graced outcast. my totally awkward\nchildhood surprisingly yielded to something extroverted, thoughtful\nand diplomatic. i'm a nice guy, i love people, i love humanity, and\ni can get pretty angry about all of the above. if i end up the\nloudest guy in the room, i'm never so loud that i cant hear what\nanyone else is saying.<br />\n<br />\nthough i am often inappropriate and desperately unable to pass up a\njoke, no one has ever punched me. i think too much, and talk to\nmuch, but know when to shut the f up.<br />\n<br />\n<em>for the sake of accurate representation</em>, i'm going to\nqualify my "average" body type as a bit of muscle and a bit of fat.\nnote: i have recently become an ebook-reading-cardio-addict. now\nthat i can jog and read oversized print at the same time i can't\nstay away from a treadmill. seriously, 4+ books, 60+ minutes 4+\ntimes a week for 6 weeks and counting.	i work with elderly people (psychotherapy and case management) and\ni'm inching into public health (volunteer for now at a men's health\nclinic). studying for my mft license exam. professionally, i have a\npath for sure, and creatively i'm always working things out.\nkeeping my sanity through excessive amounts of cardio. (muffin-top\ngone!)	i'm a great bullshitter. i don't know what it is but people just\nplain believe the craziest shit i tell them. i'm a good\nconversationalist (pre-req for bullshitting) - i can talk to anyone\nabout anything. i have a good memory for most things (except names)\nand my brain is a trap for random information. i'm also pretty good\nat ranting and then talking the pitchforks out of the assembling\nmob's hands (because i'm a lover not a riot leader). give me a job\nto do and i'll to it thoughtfully and very well. jack of all\ntrades.	either that i am funny/sarcastic, or that i am totally insulting\nfollowed by the realization that i am just a nice guy, who at times\ndoesn't communicate in the most delicate ways.<br />\n<br />\nwhen i am in a reserved mood ... maybe it is my loud laugh? my big\nnose? something i'm totally unaware of?	i just read the help by kathryn stockett, sooooooo gooooood! just\nfinished, the time machine by h.g. wells - i think about this book\na lot. currently reading a totally sad true love story, interesting\nbook. some of my faves are the confederacy of dunces, lolita, devil\nin the white city. i am just now becoming a regular reader and i\nlove it!<br />\n<br />\nlove music too many to list ... more later.<br />\nlove movies, see everything i can - some favorites: dr.\nstrangelove, eternal sunshine of a spotless mind, wall-e ... more\nlater.	1. family & friends & other humans - interaction<br />\n2. music & movies & books - entertainment<br />\n3. computer & electronics<br />\n4. clean underwear<br />\n5. exercise (with a book)<br />\n6. caffeine	sex, myself, other people, how amazing everything is, how fucked up\neverything is, that damn song stuck in my head, whats to eat, whats\nto do, something inappropriate. why can't i stop thinking about\nthings that aren't worth thinking about.	out at happy hour with my friends, running into other friends,\nranting about something hardly worth the rant .. or at home.	i wish i could cry like holly hunter in broadcast news.	if you have a back-bone, an opinion, a sense of humor, want to meet\nface-to-face.	white	68.0	-1	medicine / health	2012-06-29-00-42	san francisco, california	NaN	gay	likes dogs and likes cats	catholicism and laughing about it	m	gemini and it’s fun to think about	sometimes	english	single

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Decimal Number